Abstract Current studies on cable harness layouts have mainly focused route planning. However, the topological structure of a is also extremely complex, and branch can affect layout. The design key to such In this paper, novel multi-branch layout method presented, which unites probabilistic roadmap (PRM) genetic algorithm. First, engineering constraints are presented. An obstacle-based PRM used...

the main purpose of design in civil engineering is to establish a project which has the most versatility on the expected needs and existing conditions. through optimization this is equivalent to determination of a group of design variables that cause minimizing the object function versus imposed loads, restraints and predetermined parameters. in this research, genetic algorithm method is used t...

A genetic algorithm is one of a class of algorithms that searches a solution space for the optimal solution to a problem. First part of this work consists of basic information about Genetic algorithm like what are Individual, Population, Crossover, Genes, Binary Encoding, Flipping, Crossover probability, Mutation probability. What is it used for, what is their aim. In this article the methods o...

A concept of age of individuals for measuring their suitablity for participation in genetic operations for steady state GAS is introduced. Effective fitness of an individual depends both on its functional value and age. Age of a newly generated individual is taken as zero and every iteration it is increased by one. As in nature, a d d t individuals are considered more fit for genetic operations...

A genetic algorithm is one of a class of algorithms that searches a solution space for the optimal solution to a problem. First part of this work consists of basic information about Genetic algorithm like what are Individual, Population, Crossover, Genes, Binary Encoding, Flipping, Crossover probability, Mutation probability. What is it used for, what is their aim. In this article the methods o...

In this paper, a multi-product single machine scheduling problem with the possibility of producing defected jobs, is considered. We concern rework in the scheduling environment and propose a mixed-integer programming (MIP) model for the problem.  Based on the philosophy of just-in-time production, minimization of the sum of earliness and tardiness costs is taken into account as the objective fu...

The paper presents aspects regarding genetic algorithms, their use in data mining and especially about their use in the discovery of classification rules. A synthetic presentation of the fitness functions of the genetic algorithms used for mining the classification rules is performed. A genetic algorithm with a new fitness function for mining the classification rules is suggested. The proposed ...

In the field of vehicle path planning, traditional intelligent optimization algorithms have disadvantages slow convergence, poor stability and a tendency to fall into local extremes. Therefore, gradient statistical mutation quantum genetic algorithm (GSM-QGA) is proposed. Based on dynamic rotation angle adjustment by chromosome fitness value, gate strategy improved introducing idea descent. Acc...