Results 11 to 20 of about 250,700 (315)
Prospects for computational steering of evolutionary computation [PDF]
, 2002 Currently, evolutionary computation (EC) typically takes place in batch mode: algorithms are run autonomously, with the user providing little or no intervention or guidance. Although it is rarely possible to specify in advance, on the basis of EC theory,
Bullock, Seth +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.
Manuel López-ibáñez +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
openalex +3 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
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation, 2007 The field of Evolutionary Computation has experienced tremendous growth over the past 20 years, resulting in a wide variety of evolutionary algorithms and applications. The result poses an interesting dilemma for many practitioners in the sense that, with such a wide variety of algorithms and approaches, it is often hard to se the relationships between
Leguizamón, Guillermo +2 more
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Information Processing Letters, 2002 Evolutionary computing (EC) is an exciting development in Computer Science. It amounts to building, applying and studying algorithms based on the Darwinian principles of natural selection. In this paper we briefly introduce the main concepts behind evolutionary computing.
Eiben, Aguston, Schoenauer, Marc
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Human-Guided Evolutionary Story Narration
IEEE Access, 2018 Stories are useful tools with which we can exchange experience learnt in social contexts, ways to communicate futures in strategic planning, and unique building blocks that connect meanings in a movie or a virtual environment.
Kun Wang +3 more
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Evolutionary Robot Vision for People Tracking Based on Local Clustering [PDF]
, 2008 This paper discusses the role of evolutionary computation in visual perception for partner robots. The search of evolutionary computation has many analogies with human visual search.
Kubota, Naoyuki, Sulistijono, Indra Adji
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Shifting niches for community structure detection [PDF]
, 2013 We present a new evolutionary algorithm for community structure detection in both undirected and unweighted (sparse) graphs and fully connected weighted digraphs (complete networks).
Grappiolo, Corrado +3 more
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Systematic Initialization Approaches for Portfolio Optimization Problems
IEEE Access, 2019 Selecting the number of assents to obtain the maximized expected return under the possible lowest risk is the main concern of portfolio optimization problems. Optimization algorithms -multi/many-objective- are evaluated to find the desired/possible level
Mehmet Altinoz, O. Tolga Altinoz
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