Multi-Objective Optimization Problems: Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications
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Offers an starting point to key concepts related to multi-objective optimization problems Brings a rich variety of applications in Engineering and Mathematics Presents a new optimization strategy, the Self-Adpative Multi-objective Optimization Differential Evolution (SA-MODE) algorithm in which the parameters are dynamically updated during the evolutionary process Gives a broad perspective on different solving methods based on classical and modern approaches
Offers an starting point to key concepts related to multi-objective optimization problems Brings a rich variety of applications in Engineering and Mathematics Presents a new optimization strategy, the Self-Adpative Multi-objective Optimization Differential Evolution (SA-MODE) algorithm in which the parameters are dynamically updated during the evolutionary process Gives a broad perspective on different solving methods based on classical and modern approaches
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