A Novel Hybrid Jaya Algorithm
Keywords:
Evolutionary Algorithm , Differential Evolution, Fire Fly Algorithm, Shuffled Frog leaping, Gravitational Search AlgorithmAbstract
The Hybrid JAYA (HJAYA) algorithm, a potent and hybridized optimization method, is suggested in this study as a solution to restricted design engineering optimization issues. The idea behind this innovative method is that the best solution found for a given problem shouldn't become stuck in local optima, but instead should aim to advance towards the best answers found thus far. The technique is further accelerated by using a novel starting strategy to provide better answers with fewer function evaluations. As fewer method-specific parameters are needed, this algorithm is simple to implement. By using it to resolve seven challenging constrained problems, including two from design engineering, the algorithm's effectiveness is assessed. Our findings are contrasted with those of other well-known methods found in the literature. The results show that, in terms of creating high-quality solutions, our suggested technique is either superior to or comparable to other algorithms. HJAYA is also applicable to issues in specific fields.
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