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Evolutionary Computation and Meta-heuristics

2020
This 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.
openaire   +1 more source

Meta-heuristic local planning

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.
openaire   +1 more source

A comprehensive survey on meta-heuristic algorithms for parameter extraction of photovoltaic models

Renewable and Sustainable Energy Reviews, 2021
Shuijia Li, Wenyin Gong, Qiong Gu
exaly  

MEALPY: An open-source library for latest meta-heuristic algorithms in Python

Journal of Systems Architecture, 2023
Nguyen Van Thieu   +2 more
exaly  

Meta-Heuristics

2010
Rafael Martí, Gerhard Reinelt
openaire   +1 more source

Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification

Energy Conversion and Management, 2020
Bo Yang, Jingbo Wang, Xiaoshun Zhang
exaly  

Evaluating the performance of meta-heuristic algorithms on CEC 2021 benchmark problems

Neural Computing and Applications, 2022
Ali Wagdy Mohamed   +2 more
exaly  

Advances in Meta-Heuristic Optimization Algorithms in Big Data Text Clustering

Electronics (Switzerland), 2021
Laith Abualigah   +2 more
exaly  

A comparative review on mobile robot path planning: Classical or meta-heuristic methods?

Annual Reviews in Control, 2020
Mohd Nadhir Ab Wahab   +2 more
exaly  

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