Optimal design of the flywheel using nature inspired optimization algorithms
نویسندگان
چکیده
منابع مشابه
Nature-Inspired Optimization Algorithms
The performance of any algorithm will largely depend on the setting of its algorithmdependent parameters. The optimal setting should allow the algorithm to achieve the best performance for solving a range of optimization problems. However, such parameter tuning is itself a tough optimization problem. In this chapter, we present a framework for self-tuning algorithms so that an algorithm to be t...
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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 metahe...
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ژورنال
عنوان ژورنال: Open Agriculture
سال: 2018
ISSN: 2391-9531
DOI: 10.1515/opag-2018-0054