Metaheuristic Optimization: Nature-Inspired Algorithms and Applications
نویسنده
چکیده
Turing’s pioneer work in heuristic search has inspired many generations of research in heuristic algorithms. In the last two decades, metaheuristic algorithms have attracted strong attention in scientific communities with significant developments, especially in areas concerning swarm intelligence based algorithms. In this work, we will briefly review some of the important achievements in metaheuristics, and we will also discuss key implications in applications and topics for further research.
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