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Evolutionary Computation and Meta-heuristics
2020This chapter presents several methods of evolutionary computation and meta-heuristics. Evolutionary computation is a computation technique that mimics the evolutionary mechanism of life to select, deform, and convolute data structures. Because of its high versatility, its applications are found in various fields.
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2014
Navigation is a crucial task for mobile robots driving through dynamic environments. Besides the difficulties involved in finding a way from a starting to some goal location, the problem gets more difficult if unknown objects, dynamics of the robotic vehicle and uncertainties from sensor readings have to be taken into account.
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Navigation is a crucial task for mobile robots driving through dynamic environments. Besides the difficulties involved in finding a way from a starting to some goal location, the problem gets more difficult if unknown objects, dynamics of the robotic vehicle and uncertainties from sensor readings have to be taken into account.
openaire +1 more source
Meta-heuristics optimization in electric vehicles -an extensive review
Renewable and Sustainable Energy Reviews, 2022Aala Kalananda Vamsi Krishna Reddy +1 more
exaly
Meta-heuristics for sustainable supply chain management: a review
International Journal of Production Research, 2023Sohrab Faramarzi-Oghani +2 more
exaly
A State-of-the-Art Review on Meta-heuristics Application in Remanufacturing
Archives of Computational Methods in Engineering, 2021Zulfiquar N Ansari, S D Daxini
exaly
Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems
Swarm and Evolutionary Computation, 2023Kaizhou Gao, Zhenfang Ma, Weiyu Tang
exaly
Optimal parameter extraction of PEM fuel cells by meta-heuristics
International Journal of Ambient Energy, 2022Caiyuan Xiao +2 more
exaly