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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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Evolutionary Computation for Expensive Optimization: A Survey [PDF]
Machine Intelligence Research, 2022 Expensive optimization problem (EOP) widely exists in various significant real-world applications. However, EOP requires expensive or even unaffordable costs for evaluating candidate solutions, which is expensive for the algorithm to find a satisfactory ...
Jian-Yu Li, Zhi-hui Zhan, Jun Zhang
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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
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Creative AI Through Evolutionary Computation: Principles and Examples [PDF]
SN Comput Sci, 2019 The main power of artificial intelligence is not in modeling what we already know, but in creating solutions that are new. Such solutions exist in extremely large, high-dimensional, and complex search spaces.
R. Miikkulainen
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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 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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Evolutionary computation and Wright's equation
Theoretical Computer Science, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Heinz Mühlenbein, Th. Mahnig
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A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends [PDF]
IEEE Transactions on Evolutionary Computation, 2022 Computer vision (CV) is a big and important field in artificial intelligence covering a wide range of applications. Image analysis is a major task in CV aiming to extract, analyze and understand the visual content of images.
Ying Bi +4 more
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