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A Cooperative Co-evolutionary LSHADE Algorithm for Large-Scale Global Optimization
Published 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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Application of Red Deer Algorithm in Optimizing Complex functions
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A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)
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Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
Published 2016Subjects: Get full text
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Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
Published 2023“…The proposed method is based on enhancing the search process of the Prairie Dog Optimization Algorithm (PDOA) by using the primary updating mechanism of the Dwarf Mongoose Optimization Algorithm (DMOA). …”
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The buffered work-pool approach for search-tree based optimization algorithms
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Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm
Published 2023“…The target dynamics, the sensor selection, and the measurements are simulated by way of an agent-based modeling framework called MESA. The results show an optimum resource allocation with an information-based cost function that is optimized by an Auction Algorithm.…”
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Natural optimization algorithms for optimal regression testing
Published 1997“…The present two natural optimization algorithms, namely simulated annealing and genetic algorithms, for solving this problem. …”
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Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications
Published 2023Subjects: “…Gradient-Based Optimizer…”
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The Hybrid Framework for Multi-objective Evolutionary Optimization Based On Harmony Search Algorithm
Published 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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Archive-based coronavirus herd immunity algorithm for optimizing weights in neural networks
Published 2023“…Coronavirus herd immunity optimizer (CHIO) is a recent metaheuristic human-based algorithm stemmed from the herd immunity mechanism as a way to treat the spread of the coronavirus pandemic. …”
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Optimal Dispatch of Mobile Energy Storage Unit to Support EV Charging Stations
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doctoralThesis -
35
A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)
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masterThesis -
36
Animal migration optimization algorithm: novel optimizer, analysis, and applications
Published 2024“…A new heuristic optimization algorithm was proposed in 2013 called the animal migration optimization (AMO) algorithm. …”
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