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Epigenetic opportunities for evolutionary computation [PDF]
Royal Society Open Science, 2023 Evolutionary computation is a group of biologically inspired algorithms used to solve complex optimization problems. It can be split into evolutionary algorithms, which take inspiration from genetic inheritance, and swarm intelligence algorithms, that ...
Sizhe Yuen +2 more
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Reproducibility in Evolutionary Computation [PDF]
ACM Transactions on Evolutionary Learning and Optimization, 2021 Experimental studies are prevalent in Evolutionary Computation (EC), and concerns about the reproducibility and replicability of such studies have increased in recent times, reflecting similar concerns in other scientific fields.
M. L'opez-Ib'anez, J. Branke, L. Paquete
semanticscholar +7 more sources
Integrating evolutionary computation with neural networks [PDF]
, 2002 There is a tremendous interest in the development of the evolutionary computation techniques as they are well suited to deal with optimization of functions containing a large number of variables.
E. Vonk +3 more
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Using Evolutionary Computation on GPS Position Correction [PDF]
The Scientific World Journal, 2014 More and more devices are equipped with global positioning system (GPS). However, those handheld devices with consumer-grade GPS receivers usually have low accuracy in positioning. A position correction algorithm is therefore useful in this case. In this
Jung Yi Lin
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AlphaStar: an evolutionary computation perspective [PDF]
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019 In January 2019, DeepMind revealed AlphaStar to the world---the first artificial intelligence (AI) system to beat a professional player at the game of StarCraft II---representing a milestone in the progress of AI.
Kai Arulkumaran +2 more
semanticscholar +8 more sources
Evolutionary Computation for Expensive Optimization: A Survey [PDF]
Machine Intelligence Research, 2022 Li J, Zhan Z, Zhang J.
europepmc +2 more sources
Evolutionary computation in zoology and ecology. [PDF]
Curr Zool, 2017 Evolutionary computational methods have adopted attributes of natural selection and evolution to solve problems in computer science, engineering, and other fields. The method is growing in use in zoology and ecology. Evolutionary principles may be merged with an agent-based modeling perspective to have individual animals or other agents compete.
Boone RB.
europepmc +4 more sources
Quality Diversity: A New Frontier for Evolutionary Computation
Frontiers in Robotics and AI, 2016 While evolutionary computation and evolutionary robotics take inspiration from nature, they have long focused mainly on problems of performance optimization.
Justin K Pugh +2 more
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Airspace Sectoring by Evolutionary Computation [PDF]
, 2001 When joining two airports, aircraft must follow routes and beacons; these beacons are necessary for pilots to know their position during navigation and because of the small number of beacons on the ground they often represent crossing points of different airways.
Daniel Delahaye
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Evolutionary Automata and Deep Evolutionary Computation [PDF]
arXivEvolution by natural selection, which is one of the most compelling themes of modern science, brought forth evolutionary algorithms and evolutionary computation, applying mechanisms of evolution in nature to various problems solved by computers. In this paper we concentrate on evolutionary automata that constitute an analogous model of evolutionary ...
arxiv +3 more sources