A Comprehensive Survey of Meta-heuristic Algorithms

Author:

Rajinikanth Venkatesan,Razmjooy Navid

Publisher

Springer International Publishing

Reference78 articles.

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3. Deb K (1999) Multi-objective genetic algorithms: problem difficulties and construction of test problems. Evol Comput 7(3):205–230

4. Petroski Such F et al (2017) Deep neuroevolution: genetic algorithms are a competitive alternative for training deep neural networks for reinforcement learning. arXiv preprint arXiv:1712.06567

5. Xie F, Bovik AC (2013) Automatic segmentation of dermoscopy images using self-generating neural networks seeded by genetic algorithm. Pattern Recogn 46(3):1012–1019

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