Results 131 to 140 of about 64,576 (188)
Optimizing resource allocation for IoT applications in the edge cloud continuum using hybrid metaheuristic algorithms. [PDF]
Sci RepDankolo NM +6 more
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Quantum Computing for Transport Network Optimization. [PDF]
Entropy (Basel)Ju J +7 more
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Comparative evaluation of score criteria for dynamic Bayesian Network structure learning. [PDF]
PLoS OneYaman A, Cengiz MA.
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Depression and daytime dysfunction centralize the fatigue-sleep cascade in island firefighters: a symptom network and Bayesian DAG study. [PDF]
Front PsychiatryLiu Y +6 more
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GA-HPO PPO: A Hybrid Algorithm for Dynamic Flexible Job Shop Scheduling. [PDF]
Sensors (Basel)Zhou Y +6 more
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Journal of Computational Chemistry, 2006
AbstractThis paper presents a modification of the tabu search called gradient tabu search (GTS). It uses analytical gradients for a fast minimization to the next local minimum and analytical diagonal elements of the Hessian to escape local minima. For an efficient blocking of already visited areas tabu regions and tabu directions are introduced into ...
Svetlana, Stepanenko, Bernd, Engels
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AbstractThis paper presents a modification of the tabu search called gradient tabu search (GTS). It uses analytical gradients for a fast minimization to the next local minimum and analytical diagonal elements of the Hessian to escape local minima. For an efficient blocking of already visited areas tabu regions and tabu directions are introduced into ...
Svetlana, Stepanenko, Bernd, Engels
openaire +2 more sources
Science China Information Sciences, 2021
Focal distance tabu search modifies a standard tabu search algorithm for binary optimization by augmenting a periodic diversification step that drives the search away from a current best (or elite) solution until the objective function deteriorates beyond a specified threshold or until attaining a lower bound on the distance from the originating ...
Fred Glover, Zhipeng Lü
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Focal distance tabu search modifies a standard tabu search algorithm for binary optimization by augmenting a periodic diversification step that drives the search away from a current best (or elite) solution until the objective function deteriorates beyond a specified threshold or until attaining a lower bound on the distance from the originating ...
Fred Glover, Zhipeng Lü
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Proceedings of the 9th annual conference on Genetic and evolutionary computation, 2007
Recombination in the Genetic Algorithm (GA) is supposed to extract the component characteristics from two parents and reassemble them in different combinations hopefully producing an offspring that has the good characteristics of both parents. Symbiotic Combination is formerly introduced as an alternative for sexual recombination operator to overcome ...
Ramin Halavati +3 more
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Recombination in the Genetic Algorithm (GA) is supposed to extract the component characteristics from two parents and reassemble them in different combinations hopefully producing an offspring that has the good characteristics of both parents. Symbiotic Combination is formerly introduced as an alternative for sexual recombination operator to overcome ...
Ramin Halavati +3 more
openaire +1 more source