Results 11 to 20 of about 46,925 (311)
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, the optimal evolutionary algorithm for a particular problem, it seems likely that experienced EC ...
Bullock, Seth +2 more
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A new pathway to approximate energy expenditure and recovery of an athlete
, 2021 This work proposes to use evolutionary computation as a pathway to allow a new perspective on the modeling of energy expenditure and recovery of an individual athlete during exercise.
Weigend, Fabian C. (S35322) +5 more
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Evolutionary Computation in Scheduling: A Scientometric Analysis
, 2021 Scheduling and planning problems are generally complex, large‐scale, challenging topics, and involve numerous constraints. To discover a real solution for these problems, most real‐world problems must be formulated as discrete or mixed variable ...
Emrouznejad, A, Gandomi, AH, Rahimi, I
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Urban-Tissue Optimization through Evolutionary Computation
Mathematics, 2018 The experiments analyzed in this paper focus their research on the use of Evolutionary Computation (EC) applied to a parametrized urban tissue. Through the application of EC, it is possible to develop a design under a single model that addresses multiple
Diego Navarro-Mateu +2 more
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Distributed Computation using Evolutionary Consciousness : An Approach [PDF]
International Journal of Computational Intelligence Systems, 2015 The modeling of biological phenomena and its adaptations to distributed computing are promising research areas. The computational modeling of neurobiological phenomena, such as cognition and consciousness, has potential for applications into bio-inspired
Susmit Bagchi
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Coevolutionary generative adversarial networks for medical image augumentation at scale [PDF]
, 2022 Es un trabajo de investigación presentado durante el congreso internacional The Genetic and Evolutionary Computation Conference (GECCO 2022) en Boston.Medical image processing can lack images for diagnosis.
Flores, Diana +5 more
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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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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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Surrogate-assisted evolutionary computation: Recent advances and future challenges
, 2020 Surrogate-assisted, or meta-model based evolutionary computation uses efficient computational models, often known as surrogates or meta-models, for approximating the fitness function in evolutionary algorithms. Research on surrogate-assisted evolutionary
Jin, Y
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Evolutionary computation in optimization and identification
Computer Assisted Methods in Engineering and Science, 2023 The aim of the paper is to present the application of the evolutionary algorithms to selected optimization and identification problems of mechanical systems. The coupling of evolutionary algorithms with the finite element method and the boundary element
Tadeusz Burczyński +5 more
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