A Novel Parametric benchmark generator for dynamic multimodal optimization
暂无分享,去创建一个
Ruhul A. Sarker | Carlos A. Coello Coello | Daryl Essam | Saber M. Elsayed | Ali Ahrari | C. Coello | R. Sarker | D. Essam | S. Elsayed | A. Ahrari
[1] Xin-She Yang,et al. Test Functions for Global Optimization : A Comprehensive Survey , 2013 .
[2] Andries Engelbrecht,et al. A Review and Empirical Analysis of Particle Swarm optimization Algorithms for Dynamic Multi-Modal optimization , 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).
[3] Xin Yao,et al. Scaling Up Dynamic Optimization Problems: A Divide-and-Conquer Approach , 2020, IEEE Transactions on Evolutionary Computation.
[4] Trond Andresen,et al. Dynamic optimization of control setpoints for an integrated heating and cooling system with thermal energy storages , 2020 .
[5] Hartmut Schmeck,et al. Designing evolutionary algorithms for dynamic optimization problems , 2003 .
[6] Xiujuan Lei,et al. Dynamic Multimodal Optimization: A Preliminary Study , 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).
[7] Carlos A. Coello Coello,et al. Towards a More Practically Sound Formulation of Dynamic Problems and Performance Evaluation of Dynamic Search Methods , 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).
[8] Zbigniew Michalewicz,et al. Searching for optima in non-stationary environments , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[9] Junfeng Chen,et al. Dynamic Multimodal Optimization Using Brain Storm Optimization Algorithms , 2018, BIC-TA.
[10] Zelda B. Zabinsky,et al. A Numerical Evaluation of Several Stochastic Algorithms on Selected Continuous Global Optimization Test Problems , 2005, J. Glob. Optim..
[11] Lamjed Ben Said,et al. Dynamic Multi-objective Optimization Using Evolutionary Algorithms: A Survey , 2017, Recent Advances in Evolutionary Multi-objective Optimization.
[12] Changhe Li,et al. A survey of swarm intelligence for dynamic optimization: Algorithms and applications , 2017, Swarm Evol. Comput..
[13] Xiaodong Li,et al. This article has been accepted for inclusion in a future issue. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 1 Locating and Tracking Multiple Dynamic Optima by a Particle Swarm Model Using Speciation , 2022 .
[14] Changhe Li,et al. A General Framework of Multipopulation Methods With Clustering in Undetectable Dynamic Environments , 2012, IEEE Transactions on Evolutionary Computation.
[15] Ying Gao,et al. A Distributed Multiple Populations Framework for Evolutionary Algorithm in Solving Dynamic Optimization Problems , 2019, IEEE Access.
[16] Daniele Mortari,et al. On the Rigid Rotation Concept in n-Dimensional Spaces: Part II , 2001 .
[17] Jürgen Branke,et al. Memory enhanced evolutionary algorithms for changing optimization problems , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[18] Swagatam Das,et al. Cluster-based differential evolution with Crowding Archive for niching in dynamic environments , 2014, Inf. Sci..
[19] Jürgen Branke,et al. A Multi-population Approach to Dynamic Optimization Problems , 2000 .
[20] Shengxiang Yang,et al. Evolutionary dynamic optimization: A survey of the state of the art , 2012, Swarm Evol. Comput..
[21] Swagatam Das,et al. A Cluster-Based Differential Evolution Algorithm With External Archive for Optimization in Dynamic Environments , 2013, IEEE Transactions on Cybernetics.
[22] Changhe Li,et al. A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments , 2010, IEEE Transactions on Evolutionary Computation.
[23] Shengxiang Yang,et al. A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization , 2019, IEEE Transactions on Cybernetics.
[24] Mark Wineberg,et al. The Shifting Balance Genetic Algorithm: improving the GA in a dynamic environment , 1999 .
[25] Kalyanmoy Deb,et al. Multimodal Optimization by Covariance Matrix Self-Adaptation Evolution Strategy with Repelling Subpopulations , 2017, Evolutionary Computation.
[26] Raymond Chiong,et al. Dynamic Function Optimization: The Moving Peaks Benchmark , 2013, Metaheuristics for Dynamic Optimization.
[27] Jacek Mandziuk,et al. The impact of particular components of the PSO-based algorithm solving the Dynamic Vehicle Routing Problem , 2017, Appl. Soft Comput..
[28] Lili Zheng,et al. Dynamic Pick-Up and Delivery Optimization With Multiple Dynamic Events in Real-World Environment , 2019, IEEE Access.
[29] Bin Yang,et al. A Hybrid Particle Swarm Optimization for High-Dimensional Dynamic Optimization , 2017, SEAL.
[30] R.W. Morrison,et al. A test problem generator for non-stationary environments , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[31] Changhe Li,et al. A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization , 2008, SEAL.
[32] Adil Baykasoglu,et al. Quantum firefly swarms for multimodal dynamic optimization problems , 2019, Expert Syst. Appl..
[33] Ponnuthurai N. Suganthan,et al. Crowding-based local differential evolution with speciation-based memory archive for dynamic multimodal optimization , 2013, GECCO '13.
[34] Mohammad Reza Meybodi,et al. A novel hybrid adaptive collaborative approach based on particle swarm optimization and local search for dynamic optimization problems , 2015, Appl. Soft Comput..
[35] Shengxiang Yang,et al. Evolutionary Dynamic Multiobjective Optimization: Benchmarks and Algorithm Comparisons , 2017, IEEE Transactions on Cybernetics.
[36] Mohammad Reza Meybodi,et al. A novel framework for improving multi-population algorithms for dynamic optimization problems: A scheduling approach , 2019, Swarm Evol. Comput..
[37] Ran Cheng,et al. Benchmarking Continuous Dynamic Optimization: Survey and Generalized Test Suite , 2020, IEEE Transactions on Cybernetics.
[38] Mingbo Liu,et al. Optimal Scheduling of Active Distribution Networks With Limited Switching Operations Using Mixed-Integer Dynamic Optimization , 2019, IEEE Transactions on Smart Grid.
[39] Lamjed Ben Said,et al. Handling time-varying constraints and objectives in dynamic evolutionary multi-objective optimization , 2017, Swarm Evol. Comput..
[40] Shengxiang Yang,et al. A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimization , 2017, IEEE Transactions on Evolutionary Computation.
[41] Tao Zhu,et al. A clonal selection algorithm for dynamic multimodal function optimization , 2019, Swarm Evol. Comput..
[42] Ming Yang,et al. An Adaptive Multipopulation Framework for Locating and Tracking Multiple Optima , 2016, IEEE Transactions on Evolutionary Computation.
[43] Xin Yao,et al. Benchmark Generator for CEC'2009 Competition on Dynamic Optimization , 2008 .
[44] Witold Pedrycz,et al. Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems , 2019, IEEE Transactions on Cybernetics.
[45] R. K. Ursem. Multinational evolutionary algorithms , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[46] Yong Wang,et al. Evolutionary dynamic constrained optimization: Test suite construction and algorithm comparisons , 2019, Swarm Evol. Comput..
[47] Kalyanmoy Deb,et al. A Novel Class of Test Problems for Performance Evaluation of Niching Methods , 2018, IEEE Transactions on Evolutionary Computation.
[48] Kalyanmoy Deb,et al. Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm , 2012, Evolutionary Computation.
[49] Daryl Essam,et al. Adaptive Multilevel Prediction Method for Dynamic Multimodal Optimization , 2021, IEEE Transactions on Evolutionary Computation.
[50] Xiaodong Li,et al. Benchmark Functions for CEC'2013 Special Session and Competition on Niching Methods for Multimodal Function Optimization' , 2013 .
[51] Jürgen Branke,et al. Multi-swarm Optimization in Dynamic Environments , 2004, EvoWorkshops.
[52] Anne Auger,et al. Real-Parameter Black-Box Optimization Benchmarking 2009: Noiseless Functions Definitions , 2009 .
[53] Zbigniew Michalewicz,et al. Adaptation in Dynamic Environments: A Case Study in Mission Planning , 2012, IEEE Transactions on Evolutionary Computation.
[54] Kalyanmoy Deb,et al. Dynamic Multi-objective Optimization and Decision-Making Using Modified NSGA-II: A Case Study on Hydro-thermal Power Scheduling , 2007, EMO.
[55] David Wallace,et al. Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach , 2006, GECCO '06.