Peter J. Fleming

发表

PI controller tuning for load disturbance rejection using constrained optimization

Saeed Tavakoli, Jafar Sadeghi, Ian Griffin, 2018 .

An informed convergence accelerator for evolutionary multiobjective optimiser

Ian Griffin, Peter J. Fleming, Salem Fawaz Adra, 2007, GECCO '07.

Optimization of Adaptation - A Multi-objective Approach for Optimizing Changes to Design Parameters

Peter J. Fleming, Shaul Salomon, Gideon Avigad, 2013, EMO.

Service-oriented architecture on the Grid for integrated fault diagnostics: Research Articles

Visakan Kadirkamanathan, Peter J. Fleming, X. Ren, 2007 .

Multi-objective evolutionary design of robust controllers on the grid

Peter J. Fleming, Alex Shenfield, P. Fleming, 2014, Eng. Appl. Artif. Intell..

A hybrid multi-objective evolutionary algorithm using an inverse neural network for aircraft control system design

Ian Griffin, Peter J. Fleming, Salem Fawaz Adra, 2005, 2005 IEEE Congress on Evolutionary Computation.

Use of Genetic Programming in the Identification of Rational Model Structures

Peter J. Fleming, Katya Rodríguez-Vázquez, P. Fleming, 2000, EuroGP.

On the response surface methodology and designed experiments for computationally intensive distributed aerospace simulations

Peter J. Fleming, Paul J. Stewart, Sheena A. MacKenzie, 2002, Proceedings of the Winter Simulation Conference.

Multiobjective optimization using variable complexity modelling for control system design

Peter J. Fleming, Ryuichi Yokoyama, Valceres Vieira Rocha e Silva, 2008, Appl. Soft Comput..

Performance Evaluation Issues in Real-Time Parallel Signal Processing and Control

Peter J. Fleming, M. Alamgir Hossain, M. Osman Tokhi, 1997, J. Parallel Distributed Comput..

sParEGO - A Hybrid Optimization Algorithm for Expensive Uncertain Multi-objective Optimization Problems

Visakan Kadirkamanathan, Peter J. Fleming, Shaul Salomon, 2019, EMO.

Genetic Algorithms in Control Systems Engineering

Peter J. Fleming, Carlos M. Fonseca, C. Fonseca, 1993 .

A Service Oriented Architecture for Integration of Fault Diagnostics

Visakan Kadirkamanathan, Peter J. Fleming, Haydn A. Thompson, 2004, SAG.

An Overview of Compressor Instabilities: Basic Concepts and Control

Saeed Tavakoli, Ian Griffin, Peter J. Fleming, 2004 .

Decision support system on the grid

Visakan Kadirkamanathan, Peter J. Fleming, Haydn A. Thompson, 2005, Int. J. Knowl. Based Intell. Eng. Syst..

Multiobjective genetic algorithms made easy: selection sharing and mating restriction

Peter J. Fleming, Carlos M. Fonseca, C. Fonseca, 1995 .

Multiobjective automotive drive by wire controller design

Peter J. Fleming, J. C. Zavala, Paul Stewart, 2002, Proceedings. IEEE International Symposium on Computer Aided Control System Design.

Real-time simulation and control systems design by the Response Surface Methodology and designed experiments

Peter J. Fleming, Paul J. Stewart, Sheena A. MacKenzie, 2003, Int. J. Syst. Sci..

Local preference-inspired co-evolutionary algorithms

Peter J. Fleming, Robin C. Purshouse, Rui Wang, 2012, GECCO '12.

An overview of population-based algorithms for multi-objective optimisation

Peter J. Fleming, Ioannis Giagkiozis, Robin C. Purshouse, 2015, Int. J. Syst. Sci..

Diesel Engine Drive-Cycle Optimization with Liger

Peter J. Fleming, Ioannis Giagkiozis, Stefanos Giagkiozis, 2015, EMO.

An Evolutionary Approach to Active Robust Multiobjective Optimisation

Peter J. Fleming, Shaul Salomon, Gideon Avigad, 2015, EMO.

Evolution of mathematical models of chaotic systems based on multiobjective genetic programming

Peter J. Fleming, Katya Rodríguez-Vázquez, P. Fleming, 2005, Knowledge and Information Systems.

Evolutionary Multi-Criterion Optimization

Peter J. Fleming, Shaul Salomon, Gideon Avigad, 2013, Lecture Notes in Computer Science.

A Quadratic Approximation-Based Local Search Procedure for Multiobjective Genetic Algorithms

Frederico G. Guimarães, Elizabeth F. Wanner, Ricardo H. C. Takahashi, 2006, 2006 IEEE International Conference on Evolutionary Computation.

On the Performance Assessment and Comparison of Stochastic Multiobjective Optimizers

Peter J. Fleming, Carlos M. Fonseca, C. Fonseca, 1996, PPSN.

Multiobjective Genetic Programming: A Nonlinear System Identification Application

Peter J. Fleming, Carlos M. Fonseca, Katya Rodríguez-Vázquez, 1997 .

Design Tools for Hybrid Control Systems

Peter J. Fleming, Julian M. Bass, Mohamed S. Hajji, 1997, HART.

Automotive drive by wire controller design by multi-objective techniques

Peter J. Fleming, Paul Stewart, Jose C. Zavala, 2005 .

Quadratic Approximation-Based Coordinate Change in Genetic Algorithms

Frederico G. Guimarães, Elizabeth F. Wanner, Ricardo H. C. Takahashi, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Adaptive microprocessor control of a linear helical reluctance motor

Peter J. Fleming, R.J.A. Paul, A. M. Elsamahy, 1985 .

Local search with quadratic approximation in Genetic Algorithms for expensive optimization problems

Frederico G. Guimarães, Elizabeth F. Wanner, Ricardo H. C. Takahashi, 2007, 2007 IEEE Congress on Evolutionary Computation.

New robust forecasting models for exchange rates prediction

Ganapati Panda, Peter J. Fleming, Ritanjali Majhi, 2012, Expert Syst. Appl..

Evolutionary Multi-Criterion Optimization

J. van Leeuwen, Jan van Leeuwen, Peter J. Fleming, 2003, Lecture Notes in Computer Science.

Monitoring of Aircraft Engines

Visakan Kadirkamanathan, Peter J. Fleming, P. Fleming, 2009 .

On Real-Time Markov Simulation for Gas Turbine Engine Condition Monitoring

Peter J. Fleming, G. G. Kulikov, Timofei Breikin, 1998 .

Active magnetic bearing control system testing and validation using a multiobjective genetic algorithm

Ian Griffin, Peter J. Fleming, Andrew J. Chipperfield, 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

MATLAB: Its Toolboxes and Open Structure

Peter J. Fleming, Carlos M. Fonseca, T. P. Crummey, 2020 .

Application of system identification techniques to aircraft gas turbine engines

Peter J. Fleming, David Rees, J. P. Norton, 2001 .

Diversity Management in Evolutionary Many-Objective Optimization

Peter J. Fleming, Salem Fawaz Adra, P. Fleming, 2011, IEEE Transactions on Evolutionary Computation.

Control system design for a gas turbine engine using evolutionary computing for multidisciplinary optimization

Peter J. Fleming, Valceres Vieira Rocha e Silva, Wael Khatib, 2007 .

Pareto Front Estimation for Decision Making

Peter J. Fleming, Ioannis Giagkiozis, P. Fleming, 2014, Evolutionary Computation.

General framework for localised multi-objective evolutionary algorithms

Peter J. Fleming, Robin C. Purshouse, Rui Wang, 2014, Inf. Sci..

Preference-Inspired Coevolutionary Algorithms for Many-Objective Optimization

Peter J. Fleming, Robin C. Purshouse, Rui Wang, 2013, IEEE Transactions on Evolutionary Computation.

Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization

Peter J. Fleming, Carlos M. Fonseca, C. Fonseca, 1993, ICGA.

Hybrid multiobjective genetic algorithm with a new adaptive local search process

Ian Griffin, Peter J. Fleming, Salem Fawaz Adra, 2005, GECCO '05.

Parallel implementation of a parametric spectral estimator for a real-time Doppler flow detector

Peter J. Fleming, Maria da Graça Ruano, D. F. Garcia Nocetti, 1993 .

Multiobjective gas turbine engine controller design using genetic algorithms

Peter J. Fleming, Andrew J. Chipperfield, P. Fleming, 1996, IEEE Trans. Ind. Electron..

Robust constrained predictive controllers for hot rolling mills: Disturbance uncertainty case

Peter J. Fleming, J. A. Rossiter, I-S Choi, 2008 .

Interactive batch process schedule optimization and decision-making using multiobjective genetic algorithms

Peter J. Fleming, Anne Nortcliffe, M. Thompson, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

"Whatever Works Best for You"- A New Method for a Priori and Progressive Multi-objective Optimisation

Peter J. Fleming, Robin C. Purshouse, Rui Wang, 2013, EMO.

Optimisation of maintenance scheduling strategies on the grid

Visakan Kadirkamanathan, Peter J. Fleming, Alex Shenfield, 2010, 2007 IEEE Symposium on Computational Intelligence in Scheduling.

Future trends in aircraft engine monitoring

Peter J. Fleming, X. Ren, M. Ong, 2003 .

An Adaptive Regulator Approach for the Design of Load Sharing Algorithms

Peter J. Fleming, Flavio Bonomi, P. Steinberg, 1989, FSTTCS.

Colloquium Report. Object-oriented simulation and control

Peter J. Fleming, Geoff Butler, 1991 .

Multiobjective optimization and multiple constraint handling with evolutionary algorithms. II. Application example

Peter J. Fleming, Carlos M. Fonseca, C. Fonseca, 1998, IEEE Trans. Syst. Man Cybern. Part A.

A Diversity Management Operator for Evolutionary Many-Objective Optimisation

Peter J. Fleming, Salem Fawaz Adra, 2009, EMO.

Staged Combustion Control System Development for Aviation Gas Turbine Engines

Peter J. Fleming, Haydn A. Thompson, S. M. Hargrave, 2002 .

Multi-objective energy storage power dispatching using plug-in vehicles in a smart-microgrid

Peter J. Fleming, Vitor Nazário Coelho, Igor Machado Coelho, 2016 .

Fault tolerant control of active magnetic bearings

Peter J. Fleming, Andrew J. Chipperfield, N. Grum, 1998, IEEE International Symposium on Industrial Electronics. Proceedings. ISIE'98 (Cat. No.98TH8357).

Aggregation Trees for visualization and dimension reduction in many-objective optimization

Frederico G. Guimarães, Peter J. Fleming, Alan R. R. de Freitas, 2015, Inf. Sci..

Gaussian Process Latent Variable Models for Fault Detection

Neil D. Lawrence, Visakan Kadirkamanathan, Peter J. Fleming, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

Software for the implementation of controllers on a transputer-based system

Peter J. Fleming, F. Garcia-Nocetti, C. De Oliveira, 1989 .

Optimal Advertising Campaign Generation for Multiple Brands Using MOGA

Peter J. Fleming, M. A. Pashkevich, P. Fleming, 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

A Comparative Study of Progressive Preference Articulation Techniques for Multiobjective Optimisation

Ian Griffin, Peter J. Fleming, Salem Fawaz Adra, 2007, EMO.

Preference-inspired co-evolutionary algorithm using adaptively generated goal vectors

Peter J. Fleming, Robin C. Purshouse, Rui Wang, 2013, 2013 IEEE Congress on Evolutionary Computation.

Robust Control of a Gas Turbine With Variable Power Offtake

Ian Griffin, Peter J. Fleming, Shahid Mahmood, 2006 .

Collaborative multi-objective optimization for distributed design of complex products

Yiming Yan, Peter J. Fleming, Robin C. Purshouse, 2018, GECCO.

Comparison of alternative approaches to neural network PID autotuning

Rosbi Mamat, Peter J. Fleming, António E. Ruano, 1996 .

Evolutionary many-objective optimisation: an exploratory analysis

Peter J. Fleming, Robin C. Purshouse, P. Fleming, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

The Stud GA: A Mini Revolution?

Peter J. Fleming, Wael Khatib, P. Fleming, 1998, PPSN.

Three Domain Voting In Real-time Distributed Control Systems

Peter J. Fleming, Julian M. Bass, Peter R. Croll, 1994, Proceedings. Second Euromicro Workshop on Parallel and Distributed Processing.

Multi-objective optimization approach to the PI tuning problem

Saeed Tavakoli, Ian Griffin, Peter J. Fleming, 2007, 2007 IEEE Congress on Evolutionary Computation.

Service‐oriented architecture on the Grid for integrated fault diagnostics

Visakan Kadirkamanathan, Peter J. Fleming, Haydn A. Thompson, 2007, Concurr. Comput. Pract. Exp..

Multiobjective GP for Human-Understandable Models: A Practical Application

Peter J. Fleming, Katya Rodríguez-Vázquez, 2008, Multiobjective Problem Solving from Nature.

Use of Rules and Preferences for Schedule Builders in Genetic Algorithms for Production Scheduling

Peter J. Fleming, Jane Shaw, P. Fleming, 1997, Evolutionary Computing, AISB Workshop.

An environment for on-line multiobjective tuning of controllers

Ian Griffin, Peter J. Fleming, N. Grum, 1999 .

Real-Time Improved Power Management for Autonomous Systems

Peter J. Fleming, Andrew R. Mills, Ioannis Giagkiozis, 2014 .

A SURVEY OF THE LOOPER-TENSION CONTROL TECHNOLOGY IN HOT ROLLING MILLS

Peter J. Fleming, Il Seop Choi, Anthony Rossiter, 2005 .

Looper and tension control in hot rolling mills: A survey ☆

Peter J. Fleming, Il Seop Choi, J. A. Rossiter, 2007 .

The iPICEA-g: a new hybrid evolutionary multi-criteria decision making approach using the brushing technique

Peter J. Fleming, Robin C. Purshouse, Rui Wang, 2015, Eur. J. Oper. Res..

A Real-World Application of a Many-Objective Optimisation Complexity Reduction Process

Peter J. Fleming, Robert J. Lygoe, Mark Cary, 2013, EMO.

Multi-objective optimisation of systems architectures for distributed aero-engine control systems

Peter J. Fleming, Andrew J. Chipperfield, Haydn A. Thompson, 1998 .

Preference-inspired co-evolutionary algorithms using weight vectors

Peter J. Fleming, Robin C. Purshouse, Rui Wang, 2015, Eur. J. Oper. Res..

Grid-based decision support with pro-active mobile computing

Visakan Kadirkamanathan, Peter J. Fleming, Haydn A. Thompson, 2005, 2005 IEEE International Conference on Services Computing (SCC'05) Vol-1.

Computational steering of a multi-objective evolutionary algorithm for engineering design

Peter J. Fleming, Alex Shenfield, Muhammad Alkarouri, 2007, Eng. Appl. Artif. Intell..

On the Evolutionary Optimization of Many Conflicting Objectives

Peter J. Fleming, Robin C. Purshouse, P. Fleming, 2007, IEEE Transactions on Evolutionary Computation.

Preference-Driven Co-evolutionary Algorithms Show Promise for Many-Objective Optimisation

Peter J. Fleming, Robin C. Purshouse, Cezar Jalba, 2011, EMO.

On-line evolution of robust control systems: an industrial active magnetic bearing application

Peter J. Fleming, N. Grum, B. Green, 2001 .

An evolutionary approach for path following optimal control of multibody systems

Peter J. Fleming, Andrew J. Chipperfield, Nikolay V. Dakev, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Bayesian Hierarchical Models for aerospace gas turbine engine prognostics

Peter J. Fleming, Robert F. Harrison, Andrew R. Mills, 2015, Expert Syst. Appl..

Performance optimization of gas turbine engine

Peter J. Fleming, Valceres Vieira Rocha e Silva, Wael Khatib, 2005, Eng. Appl. Artif. Intell..

A prototype framework of design tools for computer-aided control engineering

Peter J. Fleming, Julian M. Bass, P. R. Croll, 1994, Proceedings of IEEE Symposium on Computer-Aided Control Systems Design (CACSD).

Aero engine health management system architecture design using multi-criteria optimization

Peter J. Fleming, Andrew R. Mills, Rajesh Kudikala, 2013, GECCO '13 Companion.

Inverse Model Control of a Three Spool Gas Turbine Engine

Ian Griffin, Peter J. Fleming, Shahid Mahmood, 2005 .

Assessing the performance of multiobjective genetic algorithms for optimization of a batch process scheduling problem

Peter J. Fleming, Carlos M. Fonseca, Anne Nortcliffe, 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

Methods for multi-objective optimization: An analysis

Peter J. Fleming, Ioannis Giagkiozis, P. Fleming, 2015, Inf. Sci..

Tools and Techniques for Managing Many-Criteria Decision-Making

Peter J. Fleming, 2007, 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making.

Multi-objective evolutionary computing solutions for control and system identification

Ian Griffin, Peter J. Fleming, 2005 .

On finding well-spread pareto optimal solutions by preference-inspired co-evolutionary algorithm

Peter J. Fleming, Robin C. Purshouse, Rui Wang, 2013, GECCO '13.

Optimisation of Maintenance Scheduling Strategies on the Grid

Visakan Kadirkamanathan, Peter J. Fleming, Alex Shenfield, 2007, CISched.

Nonlinear identification of aircraft gas-turbine dynamics

Peter J. Fleming, Carlos M. Fonseca, António E. Ruano, 2003, Neurocomputing.

Liger: an open source integrated optimization environment

Peter J. Fleming, Ioannis Giagkiozis, Robert J. Lygoe, 2013, GECCO.

Dynamic model identification of gas turbines

Peter J. Fleming, G. G. Kulikov, V. Y. Arkov, 1998 .

A multi-objective framework for long-term generation expansion planning with variable renewables

Peter J. Fleming, S. Z. Sayed Hassen, Vishwamitra Oree, 2019 .

Alternative Parallel Implementations of an AR-Modified Covariance Spectral Estimator for Diagnostic Ultrasonic Blood Flow Studies

Peter J. Fleming, M. Graça Ruano, Fabian Garcia Nocetti, 1993, Parallel Comput..

Evolutionary computing for multidisciplinary optimisation

Peter J. Fleming, W. Khatib, 1997 .

Frequency-response identification of a linear helical reluctance motor

Peter J. Fleming, R.J.A. Paul, A. M. Elsamahy, 1985 .

Process control systems integration using object oriented technology

Peter J. Fleming, D. N. Ramos-Hernandez, Stuart Bennett, 2001, Proceedings Technology of Object-Oriented Languages and Systems. TOOLS 38.

Improved Sampling of Decision Space for Pareto Estimation

Yiming Yan, Peter J. Fleming, Ioannis Giagkiozis, 2015, GECCO.

Local Search with Quadratic Approximations into Memetic Algorithms for Optimization with Multiple Criteria

Frederico G. Guimarães, Elizabeth F. Wanner, Ricardo H. C. Takahashi, 2008, Evolutionary Computation.

Fault-tolerant transputer arrays for gas turbine engine control

Peter J. Fleming, H. A. Thompson, 1991 .

Parallel implementation of a model-based spectral estimator for Doppler blood flow instrumentation

Peter J. Fleming, M. Graça Ruano, Fabian Garcia Nocetti, 1994, Proceedings of 8th International Parallel Processing Symposium.

Towards Understanding the Cost of Adaptation in Decomposition-Based Optimization Algorithms

Peter J. Fleming, Robin C. Purshouse, Ioannis Giagkiozis, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

A CANbus-based safety-critical distributed aeroengine control systems architecture demonstrator

Peter J. Fleming, D. N. Ramos-Hernandez, Héctor Benítez-Pérez, 1999, Microprocess. Microsystems.

A genetic programming/NARMAX approach to nonlinear system identification

Peter J. Fleming, Katya Rodríguez-Vázquez, 1997 .

Generalized decomposition and cross entropy methods for many-objective optimization

Peter J. Fleming, Robin C. Purshouse, Ioannis Giagkiozis, 2014, Inf. Sci..

Metamodelling of multivariable engine models for real-time flight simulation.

Peter J. Fleming, Sheena A. MacKenzie, Paul Stewart, 2003 .

Staged combustion control design for aero engines

Peter J. Fleming, Sog-Kyun Kim, S. M. Hargrave, 2006 .

Gas turbine engine fault detection using Markov simulation technique

Peter J. Fleming, G. G. Kulikov, V. Y. Arkov, 1998 .

A novel hybrid teaching learning based multi-objective particle swarm optimization

Zhile Yang, Peter J. Fleming, Min-You Chen, 2017, Neurocomputing.

An Overview of Evolutionary Algorithms in Multiobjective Optimization

Peter J. Fleming, Carlos M. Fonseca, C. Fonseca, 1995, Evolutionary Computation.

Generalized Decomposition

Peter J. Fleming, Robin C. Purshouse, Ioannis Giagkiozis, 2013, EMO.

Diagnosis of fuel pump measurement bias in gas turbine engines

Peter J. Fleming, Haydn A. Thompson, Tim Breikin, 2007, Int. J. Syst. Sci..

An effective PSO-TLBO algorithm for multi-objective optimization

Zhile Yang, Peter J. Fleming, Min-You Chen, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Integrated fault diagnostics on the grid

Visakan Kadirkamanathan, Peter J. Fleming, Haydn A. Thompson, 2004, Proceedings. Ninth IEEE International Conference on Engineering of Complex Computer Systems.

An Application of the Model Based Predictive Control in a Hot Rolling Mill

Peter J. Fleming, Il Seop Choi, J. A. Rossiter, 2004 .

Automating the development of distributed control software

Peter J. Fleming, Julian M. Bass, Peter R. Croll, 1994, IEEE Parallel & Distributed Technology: Systems & Applications.

Improved multi-objective particle swarm optimization with preference strategy for optimal DG integration into the distribution system

Peter J. Fleming, Min-You Chen, Shan Cheng, 2015, Neurocomputing.

STAGED COMBUSTION CONTROL FOR AVIATION ENGINES: A MULTI-OBJECTIVE OPTIMISATION APPROACH

Peter J. Fleming, Haydn A. Thompson, Sog-Kyun Kim, 2002 .

Cooperative co-evolution with improved differential grouping method for large-scale global optimisation

Tao Zhang, Peter J. Fleming, Rui Wang, 2018, Int. J. Bio Inspired Comput..

On-Line Genetic Auto-Tuning of PID Controllers for an Active Magnetic Bearing Application

Peter J. Fleming, P. Schroder, B. Green, 1998 .

Drive-by-wire control of automotive driveline oscillations by response surface methodology

Peter J. Fleming, Paul Stewart, P. Fleming, 2004, IEEE Transactions on Control Systems Technology.

NASA High Speed Civil Transport approximation challenge - NASA/VPI&SU MAD Test Suite Problem 2.1

Peter J. Fleming, Wael Khatib, P. Fleming, 1998 .

Fault-tolerant transputer-based controller configurations for gas-turbine engines

Peter J. Fleming, H. A. Thompson, 1990 .

Emerging Trends in Electrical, Electronic and Communications Engineering

Peter J. Fleming, Saeid Sanei, Kalyanmoy Deb, 2017 .

Utilising a Simulink Gas Turbine Engine Model for Fault Diagnosis

Visakan Kadirkamanathan, Peter J. Fleming, Haydn A. Thompson, 1995 .

The Center Frequency ω0and Normalized Curves of Z0, Theta Z0 , γ, θγ, α, β, and Velocity of Propagation for Electrical Transmission Lines

Peter J. Fleming, 1973, IEEE Trans. Commun..

A Service Oriented Architecture for Decision Making in Engineering Design

Peter J. Fleming, Alex Shenfield, P. Fleming, 2005, EGC.

Multi-objective optimisation of distributed active magnetic bearing controllers

Peter J. Fleming, Andrew J. Chipperfield, P. Schroder, 1997 .

Staged Combustion Control Systems for Application to Aerospace Gas Turbine Engines

Peter J. Fleming, S. J. Riley, Haydn A. Thompson, 2001 .

Editorial

Visakan Kadirkamanathan, Peter J. Fleming, Peter J. Fleming, 1936, Int. J. Syst. Sci..

Many-Objective Optimization: An Engineering Design Perspective

Peter J. Fleming, Robin C. Purshouse, Robert J. Lygoe, 2005, EMO.

Preface to the papers from the 2nd IFAC workshop on algorithms and architectures for real-time control

Peter J. Fleming, 1993 .

Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization

Lothar Thiele, Peter J. Fleming, Carlos M. Fonseca, 2003 .

Fuzzy scheduling control of a gas turbine aero-engine: a multiobjective approach

Peter J. Fleming, Andrew J. Chipperfield, Beatrice Bica, 2002, IEEE Trans. Ind. Electron..

Modelling, optimisation and decision support using the grid

Peter J. Fleming, Alex Shenfield, X. Ren, 2005 .

Multi-objective optimization approach to the ALSTOM gasifier problem

Ian Griffin, Peter J. Fleming, Andrew J. Chipperfield, 2000 .

Stability analysis of the particle dynamics in particle swarm optimizer

Visakan Kadirkamanathan, Peter J. Fleming, Kirusnapillai Selvarajah, 2006, IEEE Transactions on Evolutionary Computation.

Preference-inspired co-evolutionary algorithm using weights for many-objective optimization

Peter J. Fleming, Robin C. Purshouse, Rui Wang, 2013, GECCO '13 Companion.

Time and frequency domain identification and analysis of a gas turbine engine

Peter J. Fleming, O. M Boaghe, S. A Billings, 2002 .

Combinatorial Library Design Using a Multiobjective Genetic Algorithm

Peter J. Fleming, Darren V. S. Green, Peter Willett, 2002, J. Chem. Inf. Comput. Sci..

Multiobjective design of a fuzzy controller for a gas turbine aero-engine

Peter J. Fleming, Andrew J. Chipperfield, B. Bica, 1998 .

The response surface methodology for rapid prototyping of real-time control systems

Peter J. Fleming, Paul Stewart, 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

Why Use Elitism And Sharing In A Multi-objective Genetic Algorithm?

Peter J. Fleming, Robin C. Purshouse, P. Fleming, 2002, GECCO.

Genetic algorithms for scheduling: incorporation of user preferences

Peter J. Fleming, K. J. Shaw, P. Fleming, 2000 .

An Adaptive Divide-and-ConquerMethodology forEvolutionary Multi-criterion Optimisation

Peter J. Fleming, Robin C. Purshouse, P. Fleming, 2003, EMO.

PARSIM: a parallel optimization tool

Peter J. Fleming, Andrew J. Chipperfield, T. P. Crummey, 1994, Proceedings of IEEE Symposium on Computer-Aided Control Systems Design (CACSD).

Constraint quadratic approximation operator for treating equality constraints with genetic algorithms

Frederico G. Guimarães, Elizabeth F. Wanner, Ricardo H. C. Takahashi, 2005, 2005 IEEE Congress on Evolutionary Computation.

Variable complexity modelling for evolutionary gas turbine control design

Peter J. Fleming, Valceres Vieira Rocha e Silva, Wael Khatib, 1998 .

Vibration suppression and damage detection in smart composite laminate using high precision finite element

Anand Kumar, Peter J. Fleming, Bishakh Bhattacharya, 2011, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Nonlinear identication ofaircraf t gas-turbine dynamics

Peter J. Fleming, António E. Ruano, Cesar Teixeira, 2003 .

An analysis of parameter sensitivities of preference-inspired co-evolutionary algorithms

Peter J. Fleming, Robin C. Purshouse, Rui Wang, 2015, Int. J. Syst. Sci..

Generic Pareto local search metaheuristic for optimization of targeted offers in a bi-objective direct marketing campaign

Frederico G. Guimarães, Peter J. Fleming, Vitor Nazário Coelho, 2017, Comput. Oper. Res..

Nonlinear control system design using variable complexity modelling and multiobjective optimization

Peter J. Fleming, Valceres Vieira Rocha e Silva, Wael Khatib, 2006 .

IJSS Editorial

Visakan Kadirkamanathan, Peter J. Fleming, 2005, Int. J. Syst. Sci..

On-line genetic auto-tuning of mixed H2/H∞ optimal magnetic bearing controllers

Peter J. Fleming, N. Grum, B. Green, 1998 .

An agent-based system for distributed fault diagnosis

Peter J. Fleming, Haydn A. Thompson, Xiaoxu Ren, 2006, Int. J. Knowl. Based Intell. Eng. Syst..

Active Robust Optimization: Enhancing Robustness to Uncertain Environments

Peter J. Fleming, Shaul Salomon, Gideon Avigad, 2014, IEEE Transactions on Cybernetics.

An MPC Strategy for Hot Rolling Mills and Applications to Strip Threading Control Problems

Peter J. Fleming, Il Seop Choi, J. A. Rossiter, 2008 .

A Many-Objective Optimisation Decision-Making Process Applied to Automotive Diesel Engine Calibration

Peter J. Fleming, Robert J. Lygoe, Mark Cary, 2010, SEAL.

Multiobjective analysis for the design and control of an electromagnetic valve actuator

Peter J. Fleming, Paul Stewart, Daniel T. Gladwin, 2007 .

Trajectory sensitivity reduction in the optimal linear regulator

Peter J. Fleming, P. Fleming, 1973 .

Design environments for control systems

Peter J. Fleming, P. Fleming, 2011 .

Linear matrix inequalities and evolutionary optimization in multiobjective control

Ian Griffin, Peter J. Fleming, David H. Owens, 2006, Int. J. Syst. Sci..

The Response Surface Methodology for Real-time Distributed Simulation

Peter J. Fleming, Paul Stewart, 2001 .

Design of robust fuzzy-logic control systems by multi-objective evolutionary methods with hardware in the loop

Peter J. Fleming, Paul J. Stewart, D. A. Stone, 2004, Eng. Appl. Artif. Intell..

Dependability modelling in a prototype development framework

Sylvain Metge, Peter J. Fleming, Julian M. Bass, 1995, Twenty-Fifth International Symposium on Fault-Tolerant Computing. Digest of Papers.

A Non-parametric Harmony-Based Objective Reduction Method for Many-Objective Optimization

Frederico G. Guimarães, Peter J. Fleming, Alan R. R. de Freitas, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Risk Mining for Strategic Decision Making

Visakan Kadirkamanathan, Peter J. Fleming, G. M. Allan, 2007, AWIC.

Progressive diversity management in evolutionary multiobjective optimisation

Peter J. Fleming, Salem Fawaz Adra, P. Fleming, 2010, IEEE Congress on Evolutionary Computation.

Development framework for real-time control system design

Peter J. Fleming, Julian M. Bass, Peter R. Croll, 1996, Software Engineering for Parallel and Distributed Systems.

Conflict, Harmony, and Independence: Relationships in Evolutionary Multi-criterion Optimisation

Peter J. Fleming, Robin C. Purshouse, P. Fleming, 2003, EMO.

Multiobjective optimization and multiple constraint handling with evolutionary algorithms. I. A unified formulation

Peter J. Fleming, Carlos M. Fonseca, C. Fonseca, 1998, IEEE Trans. Syst. Man Cybern. Part A.

Optimal tuning of PI controllers for first order plus dead time/long dead time models using dimensional analysis

Saeed Tavakoli, Peter J. Fleming, 2003, 2003 European Control Conference (ECC).

MULTIOBJECTIVE CONTROLLER DESIGN: OPTIMISING CONTROLLER STRUCTURE WITH GENETIC ALGORITHMS

Ian Griffin, Peter J. Fleming, David H. Owens, 2005 .

A prototype framework of tools for the design of real-time distributed control software

Peter J. Fleming, Julian M. Bass, A. R. Browne, 1994 .

An Evolutionary Approach to Non-Linear Polynomial System Identification

Peter J. Fleming, Carlos M. Fonseca, Katya Rodríguez-Vázquez, 1997 .

Stability Analysis of the Particle Dynamics in

Visakan Kadirkamanathan, Peter J. Fleming, Kirusnapillai Selvarajah, 2006 .

Increasing the density of available pareto optimal solutions

Peter J. Fleming, Ioannis Giagkiozis, P. Fleming, 2012 .

A multiobjective optimization approach to DK-iteration

Peter J. Fleming, Ian A. Griffin, 2003, 2003 European Control Conference (ECC).