Masaharu Munetomo

发表

Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2009, Genetic Programming and Evolvable Machines.

Optimal and Feasible Cloud Resource Configurations Generation Method for Genomic Analytics Applications

Masaharu Munetomo, Katsunori Miura, Courtney Powell, 2018, 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom).

Realizing robust and scalable evolutionary algorithms toward exascale era

Masaharu Munetomo, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

StGA: An application of a genetic algorithm to stochastic learning automata

Masaharu Munetomo, Yoshiharu Sato, Yoshiaki Takai, 1996, Systems and Computers in Japan.

Constructing a Robust Services-Oriented Inter-cloud Portal Based on an Autonomic Model and FOSS

Masaharu Munetomo, Courtney Powell, Attia Wahib, 2013, 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing.

SOAG: Service Oriented Architectured Grids and adoption of application specific QoS attributes

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2008, 2008 9th IEEE/ACM International Conference on Grid Computing.

The design, usage, and performance of GridUFO: A Grid based Unified Framework for Optimization

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2010, Future Gener. Comput. Syst..

A surrogate-assisted selection scheme for genetic algorithms employing multi-layer neural networks

Masaharu Munetomo, Masaki Fujiwara, 2018, GECCO.

Network Routing with the Use of Evolutionary Methods

Masaharu Munetomo, M. Munetomo, 2000, Computational Intelligence in Telecommunications Networks.

Genetic Algorithm to Optimize Fitness Function with Sampling Error and its Application to Financial Optimization Problem

Masaharu Munetomo, Kiyoshi Akama, Masahiro Hiji, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Implementation and Optimization of cGA+LS to solve Capacitated VRP over Cell/B.E.

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2009 .

Performance comparisons between parallel linkage identification and parallel BOA

Masaharu Munetomo, Kiyoshi Akama, Naoya Murao, 2003 .

A Grid based Unified Framework for Optimization

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2008 .

Population Sizing of Dependency Detection by Fitness Difference Classification

Masaharu Munetomo, Kiyoshi Akama, Miwako Tsuji, 2005, FOGA.

An adaptive parameter binary-real coded genetic algorithm for constraint optimization problems: Performance analysis and estimation of optimal control parameters

Masaharu Munetomo, Kiyoshi Akama, Omar Abdul-Rahman, 2013, Inf. Sci..

Development of a novel crossover of hybrid genetic algorithms for large-scale traveling salesman problems

Moritoshi Yasunaga, Kunihito Yamamori, Ikuo Yoshihara, 2010, Artificial Life and Robotics.

Massively parallelized co-evaluation for many-objective space trajectory optimization

Masaharu Munetomo, Martin Schlueter, 2018, GECCO.

Network Structural Vulnerability: A Multiobjective Attacker Perspective

Masaharu Munetomo, Stefano Panzieri, Federica Pascucci, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

An Intelligent Scatter with Estimation of Distribution for Tabu Search

Masaharu Munetomo, Kiyoshi Akama, Yuta Satake, 2007, EUROCAST.

Towards a small diverse pareto-optimal solutions set generator for multiobjective optimization problems

Masaharu Munetomo, Katsunori Miura, Courtney Powell, 2018, GECCO.

Multi-objective Hadoop Configuration Optimization Using Steady-State NSGA-II

Masaharu Munetomo, Courtney Powell, Akiyoshi Sugiki, 2016, 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS).

A crossover for complex building blocks overlapping

Masaharu Munetomo, Kiyoshi Akama, Miwako Tsuji, 2006, GECCO '06.

How to Apply Evolutionary Computation

Masaharu Munetomo, Hiroshi Someya, M. Munetomo, 2012 .

Live Migration-based Resource Managers for Virtualized Environments: A Survey

Masaharu Munetomo, Omar Abdul-Rahman, Kiyoshi Akama, 2010 .

Genetic Algorithm to Optimize Fitness Function with Sampling Error and its Application to Financial Optimization Problem

Masaharu Munetomo, Kiyoshi Akama, Masaru Tezuka, 2007, Evolutionary Computation in Dynamic and Uncertain Environments.

A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2008, 2008 10th IEEE International Conference on High Performance Computing and Communications.

Parallelization strategies for evolutionary algorithms for MINLP

Masaharu Munetomo, Martin Schlueter, M. Schlueter, 2013, 2013 IEEE Congress on Evolutionary Computation.

A Predicate Logic-Defined Specification Method for Systems Deployed by Intercloud Brokerages

Masaharu Munetomo, Katsunori Miura, 2016, 2016 IEEE International Conference on Cloud Engineering Workshop (IC2EW).

Toward a Genetic Algorithm Based Flexible Approach for the Management of Virtualized Application Environments in Cloud Platforms

Masaharu Munetomo, Omar Abdul-Rahman, Kiyoshi Akama, 2012, 2012 21st International Conference on Computer Communications and Networks (ICCCN).

Linkage Identification by Nonlinearity Check for Real-Coded Genetic Algorithms

Masaharu Munetomo, Kiyoshi Akama, Masaru Tezuka, 2004, GECCO.

Logical Approach to Theorem Proving with Term Rewriting on KR-logic

Masaharu Munetomo, Ekawit Nantajeewarawat, Kiyoshi Akama, 2019, KEOD.

Evaluation of Three Steady-State NSGA-III Offspring Selection Schemes for Many-Objective Optimization

Masaharu Munetomo, Courtney Powell, Phyo Thandar Thant, 2016, 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS).

Metropolitan Area Network Design Using GA Based on Hierarchical Linkage Identification

Masaharu Munetomo, Kiyoshi Akama, Miwako Tsuji, 2003, GECCO.

An Intelligent Network Routing Algorithm by a Genetic Algorithm

Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato, 1997, ICONIP.

Considering ECGA which Introduces Tabu Search

Masaharu Munetomo, Kiyoshi Akama, Yuta Satake, 2006 .

A Framework for Cloud Embedded Web Services Utilized by Cloud Applications

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2011, 2011 IEEE World Congress on Services.

Numerical assessment of the parallelization scalability on 200 MINLP benchmarks

Masaharu Munetomo, Martin Schlueter, M. Schlueter, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Inventing ET Rules to Improve an MI Solver on KR-logic

Masaharu Munetomo, Ekawit Nantajeewarawat, Kiyoshi Akama, 2019, KEOD.

Linkage Identification by Non-monotonicity Detection for Overlapping Functions

David E. Goldberg, Masaharu Munetomo, D. Goldberg, 1999, Evolutionary Computation.

Intercloud brokerages based on PLS method for deploying infrastructures for big data analytics

Masaharu Munetomo, Katsunori Miura, Courtney Powell, 2016, 2016 IEEE International Conference on Big Data (Big Data).

Designing a distributed algorithm for bandwidth allocation with a genetic algorithm

Masaharu Munetomo, Kiyoshi Akama, Yoshiharu Sato, 2004, Systems and Computers in Japan.

A General Service-Oriented Grid Computing Framework for Global Optimization Problem Solving

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2008, 2008 IEEE International Conference on Services Computing.

A GPU Accelerated Fragment-based De Novo Ligand Design by a Bayesian Optimization Algorithm

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2012 .

A genetic approach to dynamic load balancing in a distributed computing system

Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato, 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

Development of a multi-player interactive genetic algorithm-based 3D modeling system for glasses

Masaharu Munetomo, Takahito Seyama, M. Munetomo, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Constrained Multi-objective Optimization Method for Practical Scientific Workflow Resource Selection

Masaharu Munetomo, Katsunori Miura, Courtney Powell, 2019, EMO.

Multi-objective global optimization for interplanetary space trajectory design

Masaharu Munetomo, Martin Schlueter, 2019 .

Design of an SSO authentication infrastructure for heterogeneous inter-cloud environments

Masaharu Munetomo, Courtney Powell, Takashi Aizawa, 2014, 2014 IEEE 3rd International Conference on Cloud Networking (CloudNet).

A Network Design Problem by a GA with Linkage Identification and Recombination for Overlapping Building Blocks

Masaharu Munetomo, Kiyoshi Akama, Miwako Tsuji, 2008, Linkage in Evolutionary Computation.

A network design problem by a GA with linkage identification and recombination for overlapping building blocks

Masaharu Munetomo, Kiyoshi Akama, Miwako Tsuji, 2007, 2007 IEEE Congress on Evolutionary Computation.

Genetic-Based Dynamic Load Balancing: Implementation and Evaluation

Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato, 1996, PPSN.

Linkage identification for real-valued loci by fitness difference classification

Masaharu Munetomo, Kiyoshi Akama, Miwako Tsuji, 2005, 2005 IEEE Congress on Evolutionary Computation.

An Adaptive Network Routing Algorithm Employing Path Genetic Operators

Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato, 1997, ICGA.

Multi-objective Evolutionary optimization based on Decomposition with Linkage Identification considering monotonicity

Masaharu Munetomo, Kousuke Izumiya, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Introduction to MIDACO-SOLVER Software

Masaharu Munetomo, Martin Schleuter, 2013 .

Theoretical and Empirical Analysis of a GPU Based Parallel Bayesian Optimization Algorithm

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2009, 2009 International Conference on Parallel and Distributed Computing, Applications and Technologies.

Load Balancing Routing with Genetic Algorithm Based on Link Load Metric

Masaharu Munetomo, Kiyoshi Akama, Yoshiharu Sato, 2002 .

A Light Framework for the Unified Representation and Execution of Variant Tasks in a Grid Based Environment

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2010, PDPTA.

An automated ligand evolution system using Bayesian optimization algorithm

Masaharu Munetomo, Kiyoshi Akama, Haruki Maeda, 2009 .

Towards Thought Control of Next-Generation Wearable Computing Devices

Masaharu Munetomo, Courtney Powell, Masataka Mizukoshi, 2013, Brain and Health Informatics.

An Efficient Migration Scheme for Subpopulation-Based Asynchronously Parallel Genetic Algorithms

Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato, 1993, ICGA.

Distribution of Synthetic Populations of Japan for Social Scientists and Social Simulation Researchers

Masaharu Munetomo, Tadahiko Murata, Takuya Harada, 2019, 2019 International Conference on Machine Learning and Cybernetics (ICMLC).

A Foundation for Algorithm Generation by Transforming Meta-Descriptions

Yuichi Yamamoto, Masaharu Munetomo, Kiyoshi Akama, 1999, FSKD.

Optimization of parallel Genetic Algorithms for nVidia GPUs

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Optimization problem solving framework employing GAs with linkage identification over a grid environment

Asim Munawar, Masaharu Munetomo, Kiyoshi Akama, 2007, 2007 IEEE Congress on Evolutionary Computation.

Introducing assignment functions to Bayesian optimization algorithms

Masaharu Munetomo, Kiyoshi Akama, Naoya Murao, 2008, Inf. Sci..

Empirical Investigations on Parallelized Linkage Identification

Masaharu Munetomo, Kiyoshi Akama, Naoya Murao, 2004, PPSN.

A Framework of GRID Problem-Solving Environment Employing Robust Evolutionary Search

Asim Munawar, Masaharu Munetomo, Kiyoshi Akama, 2007, EUROCAST.

arGA: Adaptive Resolution Micro-genetic Algorithm with Tabu Search to Solve MINLP Problems Using GPU

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2013, Massively Parallel Evolutionary Computation on GPGPUs.

Enhancing Model-building Efficiency in Extended Compact Genetic Algorithms

Masaharu Munetomo, Kiyoshi Akama, Yuta Satake, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

A migration scheme for the genetic adaptive routing algorithm

Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato, 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

Empirical studies on parallel network construction of Bayesian optimization algorithms

Masaharu Munetomo, Kiyoshi Akama, Naoya Murao, 2005, 2005 IEEE Congress on Evolutionary Computation.

Theoretical and Empirical Investigations on Difficulty in Structure Learning by Estimation of Distribution Algorithms

Masaharu Munetomo, Kiyoshi Akama, Miwako Tsuji, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2007 .

GTOPX Space Mission Benchmarks pdf

Mohamed Wahib, Masaharu Munetomo, Markus Wagner, 2020, SoftwareX.

A Mixed-Integer Extension for ESA’s Cassini1 Space Mission Benchmark

Masaharu Munetomo, Martin Schlueter, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Model for dynamic grain sizing through compound parallelization for an optimization problem solving grid application

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2008, 2008 9th IEEE/ACM International Conference on Grid Computing.

An Efficient String Exchange Algorithm for a Subpopulation - Based Asynchronously Parallel Genetic Algorithm and Its Evaluation

Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato, 1994 .

EA-based Problem Solving Environment over the GRID

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2008 .

Distributed denial of services attack protection system with genetic algorithms on Hadoop cluster computing framework

Masaharu Munetomo, Masataka Mizukoshi, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

A proposal for Zoning Crossover of Hybrid Genetic Algorithms for large-scale traveling salesman problems

Moritoshi Yasunaga, Kunihito Yamamori, Ikuo Yoshihara, 2010, IEEE Congress on Evolutionary Computation.

A Bayesian Optimization Algorithm for De Novo ligand design based docking running over GPU

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2010, IEEE Congress on Evolutionary Computation.

Identifying Linkage Groups by Nonlinearity/Non-monotonicity Detection

Masaharu Munetomo, M. Munetomo, 1999 .

Empirical investigations on the genetic adaptive routing algorithm in the Internet

Masaharu Munetomo, Kiyoshi Akama, Yoshiharu Sato, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

Designing a distributed algorithm for bandwidth allocation with a genetic algorithm

Masaharu Munetomo, Kiyoshi Akama, Yoshiharu Sato, 2004 .

An adaptive resolution hybrid binary-real coded genetic algorithm

Masaharu Munetomo, Kiyoshi Akama, Omar Arif Abdul-Rahman, 2011, Artificial Life and Robotics.

Parallelization for space trajectory optimization

Masaharu Munetomo, Martin Schlueter, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Multiobjective Level-Wise Scientific Workflow Optimization in IaaS Public Cloud Environment

Masaharu Munetomo, Courtney Powell, Martin Schlueter, 2017, Sci. Program..

Linkage Identification by Fitness Difference Clustering

Masaharu Munetomo, Miwako Tsuji, Kiyoshi Akama, 2006, Evolutionary Computation.

De novo ligand evolution using bayesian optimization algorithms

Masaharu Munetomo, Kiyoshi Akama, Haruki Maeda, 2009 .

A scalable infrastructure of interactive evolutionary computation to evolve services online with data

Masaharu Munetomo, Shintaro Bando, 2013, 2013 IEEE International Conference on Big Data.

An improved binary-real coded genetic algorithm for real parameter optimization

Masaharu Munetomo, Omar Abdul-Rahman, Kiyoshi Akama, 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

Numerical Optimization of ESA's Messenger Space Mission Benchmark

Mohamed Wahib, Masaharu Munetomo, Martin Schlueter, 2017, EvoApplications.

Human-based genetic algorithm for facilitating practical use of data in the internet

Masaharu Munetomo, Kei Ohnishi, Ryosuke Hasebe, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

MIDACO Parallelization Scalability on 200 MINLP Benchmarks

Masaharu Munetomo, Martin Schlueter, M. Schlueter, 2017, J. Artif. Intell. Soft Comput. Res..

Optimal Cloud Resource Selection Method Considering Hard and Soft Constraints and Multiple Conflicting Objectives

Masaharu Munetomo, Katsunori Miura, Courtney Powell, 2018, 2018 IEEE 11th International Conference on Cloud Computing (CLOUD).

Parallel GEAs with Linkage Analysis over Grid

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2008, Linkage in Evolutionary Computation.

Advanced genetic algorithm to solve MINLP problems over GPU

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

A Parallel Genetic Algorithm Based on Linkage Identification

Masaharu Munetomo, Kiyoshi Akama, Naoya Murao, 2003, GECCO.

Modeling Dependencies of Loci with String Classification According to Fitness Differences

Masaharu Munetomo, Kiyoshi Akama, Miwako Tsuji, 2004, GECCO.

Empirical investigations on parallel competent genetic algorithms

Masaharu Munetomo, Kiyoshi Akama, Miwako Tsuji, 2008, GECCO '08.

A Framework for Problem-Specific QoS Based Scheduling in Grids

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2011 .

A Level-Wise Load Balanced Scientific Workflow Execution Optimization Using NSGA-II

Masaharu Munetomo, Courtney Powell, Martin Schlueter, 2017, 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID).

Linkage identification based on epistasis measures to realize efficient genetic algorithms

Masaharu Munetomo, M. Munetomo, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

Solving Extremely Difficult MINLP Problems Using Adaptive Resolution Micro-GA with Tabu Search

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2011, LION.

Solving Large Instances of Capacitated Vehicle Routing Problem over Cell BE

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2008, 2008 10th IEEE International Conference on High Performance Computing and Communications.

Multi-Level Autonomic Architecture for the Management of Virtualized Application Environments in Cloud Platforms

Masaharu Munetomo, Omar Abdul-Rahman, Kiyoshi Akama, 2011, 2011 IEEE 4th International Conference on Cloud Computing.

A Genetic Algorithm Using Linkage Identification for Metropolitan Area Network Design

Masaharu Munetomo, Kiyoshi Akama, Miwako Tsuji, 2002 .

Linkage Analysis in Genetic Algorithms

Masaharu Munetomo, Miwako Tsuji, 2008, Computational Intelligence Paradigms.

Introducing a linkage identification considering non-monotonicity to multi-objective evolutionary optimization with decomposition for real-valued functions

Masaharu Munetomo, Kousuke Izumiya, 2018, GECCO.

MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, 2007, Eighth International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2007).

A stochastic genetic algorithm for dynamic load balancing in distributed systems

Masaharu Munetomo, Yoshiharu Sato, Y. Takai, 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

Scalable 3 D Modeling Using Multi-player Interactive Genetic Algorithm on Cloud Platform as a Service

Masaharu Munetomo, Shintaro Bando, Takahito Seyama, 2014 .

An adaptive Parameters Binary-Real Coded Genetic Algorithm for Real Parameter Optimization: Performance Analysis and Estimation of Optimal Control Parameters

Masaharu Munetomo, Kiyoshi Akama, K. Akama, 2012 .

Designing Genetic Algorithms for Adaptive Routing Algorithms in the Internet

Masaharu Munetomo, 2007 .

On tracking-ability of a stochastic genetic algorithm to changing environments

Masaharu Munetomo, Yoshiharu Sato, Y. Takai, 1996, 1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929).