An Effective Robust Optimization Based on Genetic Algorithm

Intelligent and Robust Genetic Algorithm Based Classifier

The concepts of robust classification and intelligently controlling the search process of genetic algorithm (GA) are introduced and integrated with a conventional genetic classifier for development of a new version of it, which is called Intelligent and Robust GA-classifier (IRGA-classifier). It can efficiently approximate the decision hyperplanes in the feature space. It is shown experime...

An effective optimization algorithm for locally nonconvex Lipschitz functions based on mollifier subgradients

Function Optimization Based on Quantum Genetic Algorithm

Optimization method is important in engineering design and application. Quantum genetic algorithm has the characteristics of good population diversity, rapid convergence and good global search capability and so on. It combines quantum algorithm with genetic algorithm. A novel quantum genetic algorithm is proposed, which is called Variable-boundary-coded Quantum Genetic Algorithm (vbQGA) in whic...

STRUCTURAL OPTIMIZATION USING A MUTATION-BASED GENETIC ALGORITHM

The present study is an attempt to propose a mutation-based real-coded genetic algorithm (MBRCGA) for sizing and layout optimization of planar and spatial truss structures. The Gaussian mutation operator is used to create the reproduction operators. An adaptive tournament selection mechanism in combination with adaptive Gaussian mutation operators are proposed to achieve an effective search in ...

optimization of division dam section based on genetic algorithm

diversion dams in order to raise the water level of river and conveys of water into the main canal irrigation network is designed. if the dimensions of different parts of the diversion dam be considered large, stability will be supplying, but due to the increase volume of materials, construction costs will be more. design engineer must choose sections of dam that had least amount of materials a...