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Improved Manta Ray Foraging Optimization Using Opposition-based Learning for Optimization Problems

机译:改进的蝠ta觅食优化,使用基于对立面的学习解决优化问题

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Manta ray foraging optimization (MRFO) algorithm is a bio-inspired meta-heuristic algorithm. It has been proposed as an alternative optimization approach for real-world engineering problems. However, MRFO is not good at fine-tuning of solutions around opt
机译:蝠ta觅食优化(MRFO)算法是一种受生物启发的元启发式算法。已经提出将其作为针对实际工程问题的替代性优化方法。但是,MRFO并不擅长围绕opt优化解决方案

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