Results 231 to 240 of about 52,700 (290)
A novel hybridization of birds of prey-based optimization with differential evolution mutation and crossover for chaotic dynamics identification. [PDF]
Ekinci S +4 more
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Enhanced generalized normal distribution optimizer with Gaussian distribution repair method and cauchy reverse learning for features selection. [PDF]
Ghetas M, Elaziz MA, Issa M.
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A reduced sensor-based efficient and robust MPPT nonlinear controller for grid-integrated photovoltaic energy systems operating under rapidly changing climatic conditions. [PDF]
Almalaq A, Annuk A, Jin T, Mohamed MA.
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2014
Given the NP—hard nature of the Resource Constrained Project Scheduling Problem (RCPSP), obtaining an optimal solution for larger instances of the problem becomes computationally intractable. Metaheuristic approaches are therefore commonly used to provide near—optimal solutions for larger instances of the problem.
Agarwal A., Colak S., Erenguc S.
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Given the NP—hard nature of the Resource Constrained Project Scheduling Problem (RCPSP), obtaining an optimal solution for larger instances of the problem becomes computationally intractable. Metaheuristic approaches are therefore commonly used to provide near—optimal solutions for larger instances of the problem.
Agarwal A., Colak S., Erenguc S.
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This volume constitutes the refereed proceedings of Metaheuristics on 15th International Conference, MIC 2024, held in Lorient, France, during June 4–7, 2024.The 36 full papers presented together with 34 short papers were carefully reviewed and selected from 127 submissions. The conference focuses on artificial intelligence, combinatorial optimization,
Sevaux, Marc +4 more
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Sevaux, Marc +4 more
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Parameter Tuning of Metaheuristics Using Metaheuristics
Advanced Science Letters, 2013Ant colony optimization; Genetic algorithms; Metaheuristics; Optimization; Parameter setting; Scatter ...
Broderick Crawford +4 more
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2008
Decision support systems (DSSs) provide modern solution techniques that help the decision maker to find the best solution to a problem. These embedded solution techniques include and combine, but are not limited to, simulation, exact optimization methods, and heuristics.
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Decision support systems (DSSs) provide modern solution techniques that help the decision maker to find the best solution to a problem. These embedded solution techniques include and combine, but are not limited to, simulation, exact optimization methods, and heuristics.
openaire +2 more sources

