A hybrid evolutionary multiobjective optimization strategy for the dynamic power supply problem in magnesia grain manufacturing

Applied Soft Computing Journal

Volumn 13, Issue 5, 2013, Pages 2960-2969

  Kong, Weijian ^a   Chai, Tianyou ^a   Yang, Shengxiang ^b   Ding, Jinliang ^a  

^a STATE KEY LABORATORY OF SYNTHETICAL AUTOMATION FOR PROCESS INDUSTRIES   (China)

^b BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

Case based reasoning; Dynamic multiobjective optimization; Hybrid strategy; Manufacture process of magnesia grain; Multiobjective evolutionary algorithm

Indexed keywords

CASE BASED REASONING; ELECTRIC POWER SYSTEMS; MAGNESIA; MANUFACTURE; MULTIOBJECTIVE OPTIMIZATION; OPTIMIZATION; PARETO PRINCIPLE; PROBLEM SOLVING;

DYNAMIC ENVIRONMENTS; DYNAMIC MULTIOBJECTIVE OPTIMIZATION; EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATION; HYBRID STRATEGIES; MANUFACTURE PROCESS; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; OPTIMIZATION PROBLEMS; PARETO-OPTIMAL SETS;

EVOLUTIONARY ALGORITHMS;

EID: 84885574872     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.02.025     Document Type: Article

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