Evolutionary Multiobjective Optimization

This research sub-field focuses on developing and applying evolutionary algorithms specifically designed for multiobjective optimization problems. It encompasses various techniques, including surrogate-assisted methods and heuristic optimization, aimed at efficiently balancing multiple conflicting objectives in diverse applications, such as circuit design and other engineering domains.

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