On measuring multiobjective evolutionary algorithm performance
作者： D.A. Van Veldhuizen , G.B. Lamont
关键词: Class (computer programming) 、 Evolutionary programming 、 Optimization problem 、 Artificial intelligence 、 Interactive evolutionary computation 、 Computer science 、 Basis (linear algebra) 、 Evolutionary algorithm 、 Machine learning 、 Evolutionary computation 、 Mathematical optimization 、 Human-based evolutionary computation
摘要: Solving optimization problems with multiple (often conflicting) objectives is generally a quite difficult goal. Evolutionary algorithms (EAs) were initially extended and applied during the …
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