Optimization Algorithms, Benchmarks And Performance Measures: From Static To Dynamic Environment
2015 15TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA)(2015)
摘要
This paper is a tentative to describe the basics of dynamic optimization using swarm & evolutionary methods. Computational intelligence methods based on swarming, collaborative computing and related techniques showed their potentials at solving classical static problems; for dynamic problems new paradigms needs to be established, this concerns the methods, the test benches and the performance evaluation processes. A review of the key population based computational techniques is performed prior to set some perspective guidelines on how to handle the multi-objective dynamic problems using these technique. Keywords-dynamic optimization; dynamic benchmark; measure of performance
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关键词
dynamic optimization,dynamic benchmark,measure of performance
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