A novel particle swarm optimization algorithm with local search for dynamic constrained multi-objective optimization problems

In the real world, many optimization problems are dynamic constrained multi-objective optimization problems. This requires an optimization algorithm not only to find the global optimal solutions under a specific environment but also to track the trajectory of the varying optima over dynamic environm...

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Bibliographic Details
Published in:	2013 IEEE Congress on Evolutionary Computation pp. 2436 - 2443
Main Authors:	Jingxuan Wei, Liping Jia
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2013
Subjects:	Algorithm design and analysis Convergence Force Heuristic algorithms Pareto optimization Vectors
ISBN:	1479904538, 9781479904532
ISSN:	1089-778X
Online Access:	Get full text
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