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Scientific Research Publishing15y
S. H. Ling and F. H. F Leung, “An improved genetic algorithm with average-bound crossover and wavelet mutation operations,” Soft Computing, Vol. 11, No.1, pp. 7–31 ...
ABSTRACT: This paper presents a new neural network structure and namely node-to-node-link neural network (N-N-LNN) and it is trained by real-coded genetic algorithm (RCGA) with average-bound crossover ...
IEEE21y
State-of-the-art in soft computing-based motor fault diagnosis
neural-fuzzy and genetic algorithms, with descriptive diagrams as well as simplified algorithms are presented. Their advantages and disadvantages are compared and discussed. We conclude that soft ...
IEEE1y
A New Approach to Solve Traveling Salesman Problem Using Genetic Algorithm Based on Heuristic Crossover and Mutation Operator
Abstract: This paper proposes a new solution for Traveling Salesman Problem (TSP), using genetic algorithm. A heuristic crossover and mutation operation have been proposed to prevent premature ...
Scientific Research Publishing12y
S. H. Ling and F. H. F. Leung., “An Improved Genetic Algorithm with Average-Bound Crossover and Wavelet Mutation Operations,” Soft Computing, Vol. 11, No. 1, 2007, pp. 7-31 ...
In this regard, this paper proposes a novel solution methodology based on bat algorithm to solve the op- timal energy management of MG including several RESs with the back-up of Fuel Cell (FC), Wind ...