Y Kang, et al.The Combinatorial Optimization by Genetic Algorithm and Neural Network for Energy Storage System in Solar Energy Electric Vehicle. 2008 7th World Congress on Intelligent Control and Automation .S. Zhou, L. Kang, G. Guo, Y. Zhang, B. Cao, The combinatorial optimization by ...
Finally, we propose conditions ensuring that a Non-Elitist Genetic Algorithm efficiently finds approximate solutions with constant approximation ratio on the class of combinatorial optimization problems with guaranteed local optima (GLO).doi:10.48550/arXiv.1512.02047Dang, Duc-Cuong...
Genetic algorithm is applied to groups of the same type of modeling,applying this method for each component to form a variety of component libraries. Particle swarm algorithm is applied to the combination of the components of the complex models, combinatorial optimization of the various components ...
Genetic algorithm and tabu search algorithm for solving the static manycast RWA problem in optical networks Abstract The static routing and wavelength assignment (RWA) problem in Optical Networks is a combinatorial optimization problem fit to iterative search methods. In this paper we deal with the s...
A Partheno-genetic Algorithm for Combinatorial Optimization Study of Genetic Algorithm Improvement and Application-:遗传算法的改进及应用研究— 遗传算法在组合优化中的应用 a multi structure genetic algorithm for integrated design space exploration of scheduling and allocation in high level synthesis for dsp...
Optimization problems are often highly constrained and evolutionary algorithms (EAs) are effective methods to tackle this kind of problems. To further improve search efficiency and convergence rate of EAs, this paper presents an adaptive double chain quantum genetic algorithm (ADCQGA) for solving constr...
Parallel genetic algorithms, population genetics and combinatorial optimization.- ASPARAGOS a parallel genetic algorithm and population genetics.- Evolution: ... JD Becker,J Siekmann,I Eisele,... 被引量: 0发表: 1991年 Muhlenbein, H. (1989). Parallel genetic algorithms, population genetics and com...
Journal of Combinatorial Optimization R. M. A. Silva, M. G. C. Resende& P. M. Pardalos 865Accesses Explore all metrics Abstract This paper describes libbrkga, a GNU-style dynamic shared Python/C++ library of the biased random-key genetic algorithm (BRKGA) for bound constrained global opti...
Chu and Beasley genetic algorithm; fixed-step capacitor banks; discrete codification; operative costs minimization; combinatorial optimization1. Introduction 1.1. General Context Distribution networks are a fundamental component of power systems involved in warranty power supply to end customers (i.e., ...
We use the Hungarian algorithm [39], a well-known combinatorial optimization method, for solving the weighted bipartite matching problem. Our proposed Algorithm 1 is presented as follows below. Algorithm 1: Greedy_minimum_weight_matching Input: P, m, n Output: A set M of minimum weight ...