Results 51 to 60 of about 3,468,093 (146)
Optimal adjusting of simulated annealing parameters
Introduction/purpose: Simulated annealing is a powerful technique widely used in optimization problems. One critical aspect of using simulated annealing effectively is a proper and optimal adjustment of its parameters.
Allaoua Hemmak
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Algoritmo Simulated Annealing: uma nova abordagem [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Ciência da Computação.A busca por soluções de problemas por meio do computador é o tema central da ciência da computação, relevante para ...
Araujo, Haroldo Alexandre de
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Optimisation of multiplier-less FIR filter design techniques [PDF]
This thesis is concerned with the design of multiplier-less (ML) finite impulse response (FIR) digital filters. The use of multiplier-less digital filters results in simplified filtering structures, better throughput rates and higher speed.
Cemes, Radovan
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Adaptive simulated annealing for optimization in signal processing applications
Many signal processing applications pose optimization problems with multimodal and nonsmooth cost functions. Gradient methods are ineffective in these situations. The adaptive simulated annealing (ASA) offers a viable optimization tool for tackling these
Luk, B. L., Chen, S.
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Four heuristic optimization algorithms (genetic algorithm, plant growth algorithm, simulated annealing algorithm, particle swarm algorithm) are adapted to the problem of the search for the best antenna deployment using a combinational RFID-based two ...
Yu. B. Gimpilevich, D. A. Savochkin
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A new hybrid algorithm for solving the capacitated vehicle routing problem (CVRP) with stochastic demands is proposed. This new approach combines the simulated annealing (SA) with the savings algorithms and is implemented to obtain results of several ...
Ernesto Liñán García +2 more
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An Overview of Approaches to Modernize Quantum Annealing Using Local Searches [PDF]
I describe how real quantum annealers may be used to perform local (in state space) searches around specified states, rather than the global searches traditionally implemented in the quantum annealing algorithm.
Nicholas Chancellor
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Uma abordagem híbrida para solucionar problemas de otimização através dos algoritmos: genético e simulated annealing [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Ciência da Computação.Este trabalho tem como objetivo principal o desenvolvimento de uma abordagem híbrida para a solução de problemas de ...
Raulino, Rangel Gustavo
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Distribution Network Expansion Using Hybrid SA/TS Algorithm
Optimal expansion of medium-voltage power networks is a common issue in electrical distribution planning. Minimizing total cost of the objective function with technical constraints and reliability limits, make it a combinatorial problem which should be ...
Mahdi Sedghi, Masoud Aliakbar-Golkar
doaj
An enhanced differential evolution based algorithm, named multi-objective differential evolution with simulated annealing algorithm (MODESA), is presented for solving multiobjective optimization problems (MOPs).
Bili Chen +3 more
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