Self-organizing migrating algorithm using covariance matrix adaptation evolution strategy for dynamic constrained optimization

[1]  Kusum Deep,et al.  A self-organizing migrating genetic algorithm for constrained optimization , 2008, Appl. Math. Comput..

[2]  Christian Igel,et al.  A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies , 2006, GECCO.

[3]  Kusum Deep,et al.  C-SOMAQI: Self Organizing Migrating Algorithm with Quadratic Interpolation Crossover Operator for Constrained Global Optimization , 2016 .

[4]  Xiaodong Li,et al.  Particle Swarms for Dynamic Optimization Problems , 2008, Swarm Intelligence.

[5]  Abhishek Kumar,et al.  A Reference Vector-Based Simplified Covariance Matrix Adaptation Evolution Strategy for Constrained Global Optimization , 2020, IEEE Transactions on Cybernetics.

[6]  Ivan Zelinka,et al.  A modified covariance matrix adaptation evolution strategy for real-world constrained optimization problems , 2020, GECCO Companion.

[7]  Nikolaus Hansen,et al.  The CMA Evolution Strategy: A Comparing Review , 2006, Towards a New Evolutionary Computation.

[8]  K. M. Fard,et al.  Optimization of the Prismatic Core Sandwich Panel under Buckling Load and Yield Stress Constraints using an Improved Constrained Differential Evolution Algorithm , 2019 .

[9]  Yong Wang,et al.  Evolutionary dynamic constrained optimization: Test suite construction and algorithm comparisons , 2019, Swarm Evol. Comput..

[10]  J. Carrasco,et al.  Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review , 2020, Swarm Evol. Comput..

[11]  Long Chen,et al.  Global replacement-based differential evolution with neighbor-based memory for dynamic optimization , 2018, Applied Intelligence.

[12]  Adil Baykasoglu,et al.  Quantum firefly swarms for multimodal dynamic optimization problems , 2019, Expert Syst. Appl..

[13]  Swagatam Das,et al.  A υ-Constrained Matrix Adaptation Evolution Strategy With Broyden-Based Mutation for Constrained Optimization , 2021, IEEE Transactions on Cybernetics.

[14]  Dirk V. Arnold,et al.  Active covariance matrix adaptation for the (1+1)-CMA-ES , 2010, GECCO.

[15]  Hans-Georg Beyer,et al.  A Matrix Adaptation Evolution Strategy for Constrained Real-Parameter Optimization , 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

[16]  Christian Igel,et al.  Efficient covariance matrix update for variable metric evolution strategies , 2009, Machine Learning.

[17]  Xiaojing Zhang,et al.  Optimization-Based Collision Avoidance , 2017, IEEE Transactions on Control Systems Technology.

[18]  Changhe Li,et al.  A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments , 2010, IEEE Transactions on Evolutionary Computation.

[19]  Lihua Yue,et al.  Continuous Dynamic Constrained Optimization With Ensemble of Locating and Tracking Feasible Regions Strategies , 2017, IEEE Transactions on Evolutionary Computation.

[20]  Leandro dos Santos Coelho,et al.  An efficient cultural self-organizing migrating strategy for economic dispatch optimization with valve-point effect , 2010 .

[21]  Leandro dos Santos Coelho,et al.  Self-Organizing Migrating Strategies Applied to Reliability-Redundancy Optimization of Systems , 2009, IEEE Transactions on Reliability.

[22]  Jürgen Branke,et al.  Multi-swarm Optimization in Dynamic Environments , 2004, EvoWorkshops.

[23]  Ivan Zelinka,et al.  SOMA—Self-organizing Migrating Algorithm , 2016 .

[24]  Hans-Georg Beyer,et al.  A Covariance Matrix Self-Adaptation Evolution Strategy for Optimization Under Linear Constraints , 2018, IEEE Transactions on Evolutionary Computation.

[25]  Xiang Li,et al.  A hybrid particle swarm with velocity mutation for constraint optimization problems , 2013, GECCO '13.

[26]  R. Venkata Rao,et al.  Constrained economic optimization of shell-and-tube heat exchangers using elitist-Jaya algorithm , 2017 .

[27]  Dirk V. Arnold,et al.  A (1+1)-CMA-ES for constrained optimisation , 2012, GECCO '12.

[28]  Jia Luo,et al.  GPU based parallel genetic algorithm for solving an energy efficient dynamic flexible flow shop scheduling problem , 2019, J. Parallel Distributed Comput..

[29]  Dario Floreano,et al.  Memetic Viability Evolution for Constrained Optimization , 2016, IEEE Transactions on Evolutionary Computation.