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Tabu search exploiting local optimality in binary optimization
European Journal of Operational Research, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Saïd Hanafi +4 more
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Evolutionary parallel local search for function optimization
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2003This paper proposes a kind of evolutionary parallel local search technique (EPLS) that integrates the reproduction mechanisms from evolutionary algorithms and simplex method. The major aim is to explore the tradeoff between exploration and exploitation for optimizing multimodal functions.
Guanqi, Guo, Y, Shouyi
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Local Search in Combinatorial Optimization
2018In the past three decades, local search has grown from a simple heuristic idea into a mature field of research in combinatorial optimization that is attracting ever-increasing attention. Local search is still the method of choice for NP-hard problems as it provides a robust approach for obtaining high-quality solutions to problems of a realistic size ...
Aarts, Emile, Lenstra, Jan Karel
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Program Optimization with Local Search
2023Recent advancements in large language models and program synthesis have enabled the development of powerful programming assistance tools. These tools are designed to help the programmer while writing a program in an online setting. In this thesis we introduce a programming assistant that can optimize a compilable version of a program with respect to a ...
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Particle Swarm Optimization with Local Search
2005 International Conference on Neural Networks and Brain, 2006In this paper, we propose a hybrid algorithm of particle swarm optimization and local search (PSO-LS). In PSO-LS, each particle has a chance of self-improvement by applying local search algorithm before it communicates information with other particles in the swarm. Then we modify our basic PSO-LS by choosing specific good particles as initial solutions
null Junying Chen +3 more
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Local search for multiobjective function optimization
Proceedings of the 8th annual conference on Genetic and evolutionary computation, 2006Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the literature. However, there is a relatively small number of studies on LS methods for multiobjective function optimization.
Ken Harada +2 more
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On local search in d.c. optimization
2017 Constructive Nonsmooth Analysis and Related Topics (dedicated to the memory of V.F. Demyanov) (CNSA), 2017This paper addresses a nonconvex optimization problem with the cost function and inequality constraints given by d.c. functions. The original problem is reduced to a problem without inequality constraints by the exact penalization procedure.
Alexander Strekalovsky, Ilya Minarchenko
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Distributed Wireless Network Optimization With Stochastic Local Search
2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC), 2020Recent technological advances allow modification and fine-tuning of the wireless network characteristics. By modifying wireless properties such as transmission timeslots or frequencies, the wireless links quality can be optimized in order to reach optimal communication at the network level.
Van Der Lee, Tim +2 more
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