Bergsvindottir, "Solving the dial-a-ride problem using genetic algorithms," Journal of the Operational Research Society, vol. 58, pp. 1321-1331, 2007.Bergvinsdottir K, Larsen J, Jorgensen R (2004) Solving the dial-a-ride problem using genetic algorithms. Technical Report 2004-20, ...
Solving “Antenna Array Thinning Problem” Using Genetic Algorithm DOI: 10.1155/2012/946398 Rajashree Jain,G. S. Mani Full-Text Cite this paper Add to My Lib Abstract: Thinning involves reducing total number of active elements in an antenna array without causing major degradation in system perf...
In this paper the statement and themethods for solving the comparison-based structure-parametric identificationproblem ofmultifactor estimation model are addressed. A new method that combinesheuristics methods with genetic algorithms is proposed to solve the problem. In order to overcome somedisadvantages ...
may prove highly effective in solving certain classes of problems Genetic algorithms emulate the mechanics of natural selection by a process of randomized data exchange. In this way they are able to solve of range of difficult problems which cannot be tackled by other approaches. The fact that ...
摘要: Planning optical communication networks suggests a number of new optimization problems, most of them in the field of combinatorial optimization. We address here the Ring Loading Problem. The objective关键词: Optimization Genetic Algorithms Ring Loading Problem ...
I want to creat a MATLAB code for specific traveling salesman problem using genetic algorithm. How can I start? I want some one help me please. Give me similar code or tutorial to understand each step in the code 댓글 수: 0
Eiben A, Raue P and Ruttkay Z 1994 Genetic algorithms with multi-parent recombination Parallel Problem Solving from Nature-PPSN III pp 78-87Genetic algorithms with multi-parent recombination. in Parallel problem solving from - Eiben, Raue, et al. - 1994...
Among these metaheuristics, Genetic Algorithms (GA) are very popular (Goldberg, 1989). GAs explore the search space by using the Darwinian principles of natural selection. Due to their success in solving a wide variety of problems, several researchers have applied GA on GPP. However, only a ...
(1995) Using genetic algorithms to solve a multiobjective groundwater monitoring problem. Wat. Resour. Res. 31(2), 399-409.Cieniawski, S. E., Eheart, J.W., and Ranjithan, S.R.: Using genetic algorithms to solve a multi- objective groundwater monitoring problem, Water Resour. Res., ...
The primary purpose of network interdiction is to minimize the maximum flow of commodities through a capacitated network injected by an opponent using limited resources. This paper presents a genetic algorithm for solving this inherently hard problem. The algorithm is based searching for the best cut...