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21
A new multiobjective evolutionary algorithm forenvironmental/economic power dispatch
منشور في 2001"…In this paper, a new multiobjective evolutionary algorithm for environmental/economic power dispatch (EED) optimization problem is presented. …"
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22
Multiobjective optimal power flow using strength Pareto evolutionary algorithm
منشور في 2004"…In this paper, a novel multiobjective evolutionary algorithm for optimal power flow (OPF) problem is presented. …"
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23
Evolutionary algorithms for state justification in sequential automatic test pattern generation
منشور في 2005"…Evolutionary algorithms have been effective in solving many search and optimization problems. …"
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24
A modified ant colony algorithm for evolutionary design of digital circuits
منشور في 2003"…Evolutionary computation presents a new paradigm shift in hardware design and synthesis. …"
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25
A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
منشور في 2021الموضوعات: -
26
A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem
منشور في 2003"…In this paper, a novel multiobjective evolutionary algorithm for optimal reactive power (VAR) dispatch problem is presented. …"
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27
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28
The Hybrid Framework for Multi-objective Evolutionary Optimization Based On Harmony Search Algorithm
منشور في 2017"…In evolutionary multi-objective optimization, an evolutionary algorithm is invoked to solve an optimization problem involving concurrent optimization of multiple objective functions. …"
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29
A Cooperative Co-evolutionary LSHADE Algorithm for Large-Scale Global Optimization
منشور في 2017"…In this paper, we propose the application of a Cooperative Co-evolutionary LSHADE (CCLSHADE) algorithm for Large-Scale Global Optimization (LSGO). …"
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30
A Scatter search algorithm for exam scheduling. (c2006)
منشور في 2006الموضوعات: احصل على النص الكامل
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masterThesis -
31
Application of Red Deer Algorithm in Optimizing Complex functions
منشور في 2021الموضوعات: احصل على النص الكامل
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32
A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem
منشور في 2020"…Searching for a suitable or an optimal schedule for the prior via brute force to ease traffic congestion might not be the most elegant or feasible solution. Nature-inspired algorithms including evolutionary and swarm intelligence algorithms are gaining a lot of momentum. …"
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33
Environmental/economic power dispatch using multiobjective evolutionary algorithms: a comparative study
منشور في 2003"…A comparative study of newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) applied to a nonlinear power system multiobjective optimization problem is presented in this paper. …"
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34
An Extreme Point Algorithm For A Local Minimum Solution To The Quadratic Assignment Problem
منشور في 2020"…Then an extreme point algorithm for QAP is proposed. (C) 2003 Elsevier B.V. …"
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35
An Extreme Point Algorithm For A Local Minimum Solution To The Quadratic Assignment Problem
منشور في 2020"…Then an extreme point algorithm for QAP is proposed.…"
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36
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37
A Review of the Genetic Algorithm and JAYA Algorithm Applications
منشور في 2022"…The JA Y A algorithm integrates evolutionary algorithms' survival of the fittest concept with the productivity and richness of heuristic search methodologies. …"
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38
Salp swarm algorithm: survey, analysis, and new applications
منشور في 2024"…The behavior of the species when traveling and foraging in the waters is the main source of SSA and MSSA. These two algorithms are put to test on a variety of mathematical optimization functions to see how they behave when it comes to finding the best solutions to optimization problems. …"
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39
Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation
منشور في 2023"…This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. …"
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40
Incremental Genetic Algorithm
منشور في 2006"…Classical Genetic Algorithms (CGA) are known to find good sub-optimal solutions for complex and intractable optimization problems. …"
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article