Genetic algorithm, in artificial intelligence, a type of evolutionary computer algorithm in which symbols (often called “genes” or “chromosomes”) representing possible solutions are “bred.” This “breeding” of symbols typically includes the use of
et al, “A Genetic Algorithm Optimization Technique for Compact High Intensity Cooler Design - Schmit - 1996Schmit, T., et al, 1996, "A Genetic Algorithm Optimization Technique for Compact High Intensity Cooler Design", Journal of Enhanced Heat Transfer, Vol.3, No.,4, pp.281-290....
比如通过MATLAB遗传算法的思想求解f(x)=x*sin(10pi*x)+2.0,-1<=x<=2的最大值问题，结果精确到3位小数。首先在matlab命令窗口输入f=@(x)-(x*sin(10*pi*x)+2) 输出结果为 >> f=@(x)-(x*sin(10*pi*x)+2)f = (x)-(x*sin(10*pi*x)+2)接着输入gatool会打开遗传算法工具箱...
It generates solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. Genetic algorithms are one of the best ways to solve a problem for which little is known. They are a very general algorithm and so work well ...
Recently, genetic algorithm (GA) and particle swarm optimization (PSO) techniques appeared as promising algorithms for handling the optimization problems. These techniques are finding popularity within research community as design tools and problem solvers because of their versatility and ability to ...
The Evolutionary algorithm is used as a basic concept of the Evolutionary Programming Strategy. To solve many of the numeric and combinatorial problems the evolutionary programming is applied. The optimization problem is obtained using the crossover and mutation. The mutation operation is performed to ...
Genetic algorithm optimization techniques are applied to shift properly the membership functions of the fuzzy controller in order to satisfy the occupants’ preferences while minimizing energy consumption. The implementation of the system integrates a smart card unit, sensors, actuators, interfaces, a ...
In this section we provide a brief introduction to the adaptive genetic algorithm (AGA) technique, which is employed to optimize the structures presented in this paper. In the simplest form an optimization problem to be solved with a GA can be expressed as ...
Distributed genetic algorithm Genetic algorithms (GAs)70 are efficient search and optimisation techniques based on the principle of natural genetics evolution, aiming at finding optimum or sub-optimum solutions to problems that are difficult to be algebraically solved. Standard GAs perform the search thro...
We apply the optimization techniques to a case study pipe network. The genetic algorithm technique finds the global optimum in relatively few evaluations compared to the size of the search space. 展开 关键词: Optimization Pipe networks Algorithms Stochastic processes Nonlinear programming ...