A Consideration about Difference in Individual Evolution by Infection Technique on Virus Evolutionary Genetic Algorithm

Developing Adaptive Differential Evolution as a New Evolutionary Algorithm, Application in Optimization of Chemical Processes

Consideration of Genetic Algorithm with Virus Infection solving Traveling Salesman Problem

Genetic Algorithm (GA) is known as method to solve Traveling Salesman Problem (TSP). However, GA needs amount of time for finding approximate solution. Thus, this study proposes Genetic Algorithm with Virus Infection (GAVI). GAVI algorithm is using Virus Theory of Evolution (VTE) to be based on Genetic Algorithm (GA). GA can evolve by natural selection, while VTE can evolve by virus infection. ...

A Novel Technique for Steganography Method Based on Improved Genetic Algorithm Optimization in Spatial Domain

This paper devotes itself to the study of secret message delivery using cover image and introduces a novel steganographic technique based on genetic algorithm to find a near-optimum structure for the pair-wise least-significant-bit (LSB) matching scheme. A survey of the related literatures shows that the LSB matching method developed by Mielikainen, employs a binary function to reduce the numbe...

New composite evolutionary computation algorithm using interactions among genetic evolution, individual learning and social learning

This paper studies the characteristics of a new composite evolutionary computation algorithm in which genetic evolution, individual learning and social learning interact in NK fitness landscape. We derive conditions for effective social learning in static and dynamic environments using computer simulations of a model of the composite evolutionary algorithm. The conditions for static environment...

Conceptual Evolutionary Design by a Genetic Algorithm

locked in a timewarp of platitudes, vague design procedures, and problem-specific design rules." Abstract: This paper describes a prototype design system which uses a genetic algorithm to evolve new conceptual designs from scratch (i.e. without the input of preliminary designs). The system is applied to a set of design tasks which are 'hard' for a genetic algorithm: the design of optical prisms...