This paper introduces the development and implementation of a new methodology for optimizing reliability measures of a computer communication network within specifi ed constraints. A genetic algorithm approach with specialized encoding, crossover, and mutation operators to design a layout topology optimizing source-terminal computer communication network reliability is presented. In this work, ...

This paper presents a feasibility-preserving crossover and mutation operator for evolutionary algorithms for constrained combinatorial problems. This novel operator is driven by an adapted Pseudo-Boolean solver that guarantees feasible offspring solutions. Hence, this allows the evolutionary algorithm to focus on the optimization of the objectives instead of searching for feasible solutions. Ba...

Recently there have been studies about using multiple operators in a genetic algorithm (GA) [1, 2]. It is important to determine appropriate operator probabilities in such a GA in order to achieve synergy of multiple operators. In this paper, we investigated various strategies in determining the operator probabilities in a GA with multiple crossover operators. We say that the crossovers have sy...

Different kinds of genetic algorithms have been investigated for a parameter identification of a fermentation process. Altogether eight realizations of genetic algorithms have been presented four of simple genetic algorithms and four of multi-population ones. Each of them is characterized with a different sequence of implementation of main genetic operators, namely selection, crossover and muta...

This paper presents a weight optimization method for nonlinear model predictive controller (NMPC) based on the genetic algorithm (GA) ship trajectory tracking. The coefficients Q and R of objective function in NMPC are obtained via real-time instead trial error method, which improves efficiency accuracy controller. In addition, targeted improvements made to internal crossover operator, mutation...

This paper addresses the multiobjective vehicle routing problem with time windows (MOVRPTW). The objectives are to minimize the number of vehicles and the total distance simultaneously. Our approach is based on an evolutionary algorithm and aims to find the set of Pareto optimal solutions. We incorporate problem-specific knowledge into the genetic operators. The crossover operator exchanges one...

An approach of reduced-order H∞ controller for a class of linear continuous dynamic systems is presented based on Genetic Algorithm. Necessary and sufficient conditions are given, in terms of linear matrix inequality, for the existence of controller. A rank condition is changed to object function of genetic algorithm(GA). The minimum order nk of the controller and a corresponding parameter pair...

Biogeography-Based Optimization (BBO) algorithm has recently been of great interest to researchers for simplicity of implementation, efficiency, and the low number of parameters. The BBO Algorithm in optimization problems is one of the new algorithms which have been developed based on the biogeography concept. This algorithm uses the idea of animal migration to find suitable habitats for solvin...

This paper investigates the use of more than one crossover operator to enhance the performance of genetic algorithms. Novel crossover operators are proposed such as the Collision crossover, which is based on the physical rules of elastic collision, in addition to proposing two selection strategies for the crossover operators, one of which is based on selecting the best crossover operator and th...