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1
Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems
منشور في 2022الموضوعات: احصل على النص الكامل
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Optimization of Support Structures for Offshore Wind Turbines using Genetic Algorithm with Domain-Trimming (GADT)
منشور في 2017"…The powerful genetic algorithm optimization technique is augmented with an innovative “domain-trimming” modification. …"
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3
A new family of multi-step quasi-Newton algorithms for unconstrained optimization
منشور في 1999"…It concentrates on deriving a variable-metric family of minimum curvature algorithms for unconstrained optimization. The derivation is based on considering a rational model, with a certain tuning parameter, where the aim is to develop a general framework that encompasses all possible two-step minimum curvature algorithms generated by appropriate parameter choices. …"
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احصل على النص الكامل
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4
A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
منشور في 2021"…The test suite of benchmark function is recently designed for the special session of EAs competition in IEEE Congress on Evolutionary Computation (IEEE-CEC′13). The suggested algorithm has approximated promising solutions with good convergence and diversity maintenance for most of the used bound constrained single optimization problems. …"
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Global-best Brain Storm Optimization Algorithm
منشور في 2018"…Brain storm optimization (BSO) is a population-based metaheuristic algorithm that was recently developed to mimic the brainstorming process in humans. …"
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احصل على النص الكامل
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6
Island flower pollination algorithm for global optimization
منشور في 2019"…Comparing the results of IsFPA with those of state-of-the-art methods which are FPA, genetic algorithm (GA), particle swarm optimization (PSO), gravitational search algorithm (GSA), multi-verse optimizer (MVO), island bat algorithm (iBA), and island harmony search (iHS), the comparison results show that the IsFPA is able to control the diversity and improves the outcomes where IsFPA is ranked first followed by FPA, iBA, iHS, GSA, MVO, GA, PSO, respectively, based on the Friedman test with Holm and Hochberg as post hoc statistical test.…"
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احصل على النص الكامل
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7
Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization
منشور في 2022"…The gazelle optimization algorithm (GOA) is a global stochastic optimizer that is straightforward to comprehend and has powerful search capabilities. …"
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A new minimum curvator multi-step method for unconstrained optimization
منشور في 1998احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
10
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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11
A Hybrid Flower Pollination with p-Hill Climbing Algorithm for Global Optimization
منشور في 2021"…In this paper, the -hill climbing optimizer is hybridized with the flower pollination algorithm (FPA) as a local refinement operator for global optimization problems. …"
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احصل على النص الكامل
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15
Segmentation of thermographies from electronic systems by using the global-best brain storm optimization algorithm
منشور في 2023"…This paper proposes a combination of the minimum cross-entropy method and the Global-best brain storm optimization algorithm (GBSO), which improves the standard BSO to find the optimal solutions in complex search spaces. …"
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احصل على النص الكامل
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17
Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities
منشور في 2002"…loosely versus tightly constrained layouts. In most problems considered where the total-objects-to-site-area ratio did not exceed 60%, the algorithm returned close to optimal solutions in a reasonable time.…"
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احصل على النص الكامل
احصل على النص الكامل
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Whale optimization algorithm: analysis and full survey
منشور في 2024"…Various adaptations and hybridizations of the WOA are reviewed, including adaptive strategies, constrained and multiobjective optimization extensions, and combinations with other algorithms. …"
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