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Optimization algorithms, benchmarks and performance measures: From static to dynamic environment.

, , and . ISDA, page 597-603. IEEE, (2015)

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Optimization algorithms, benchmarks and performance measures: From static to dynamic environment., , and . ISDA, page 597-603. IEEE, (2015)DPb-MOPSO: A Dynamic Pareto bi-level Multi-objective Particle Swarm Optimization Algorithm., , , , , , , and . Appl. Soft Comput., (2022)MOPSO for dynamic feature selection problem based big data fusion., , and . SMC, page 3918-3923. IEEE, (2016)A multi objective particles swarm optimization algorithm for solving the routing pico-satellites problem., , and . SMC, page 1402-1407. IEEE, (2012)Dynamic Multi Objective Particle Swarm optimization with Cooperative Agents., , , and . CEC, page 1-8. IEEE, (2020)Dynamic Multi Objective Particle Swarm Optimization Based on a New Environment Change Detection Strategy., , and . ICONIP (4), volume 10637 of Lecture Notes in Computer Science, page 258-268. Springer, (2017)Hierarchical design for distributed MOPSO using sub-swarms based on a population Pareto fronts analysis for the grasp planning problem., , , and . HIS, page 203-208. IEEE, (2013)A new hierarchical approach for MOPSO based on dynamic subdivision of the population using Pareto fronts., , and . SMC, page 947-954. IEEE, (2010)A change severity degree-based dynamic multi-objective optimization algorithm with adaptive response strategy., , , , and . Inf. Sci., (2024)Distributed MOPSO with dynamic pareto front driven population analysis for TSP problem., , and . SoCPaR, page 294-299. IEEE, (2014)