Generating of Test Data by Harmony Search Against Genetic Algorithms

SYMBIOTIC ORGANISMS SEARCH AND HARMONY SEARCH ALGORITHMS FOR DISCRETE OPTIMIZATION OF STRUCTURES

In this work, a new hybrid Symbiotic Organisms Search (SOS) algorithm introduced to design and optimize spatial and planar structures under structural constraints. The SOS algorithm is inspired by the interactive behavior between organisms to propagate in nature. But one of the disadvantages of the SOS algorithm is that due to its vast search space and a large number of organisms, it may trap i...

Racial Harmony in Genetic Algorithms

SHAPE OPTIMIZATION OF STRUCTURES BY MODIFIED HARMONY SEARCH

The main aim of the present study is to propose a modified harmony search (MHS) algorithm for size and shape optimization of structures. The standard harmony search (HS) algorithm is conceptualized using the musical process of searching for a perfect state of the harmony. It uses a stochastic random search instead of a gradient search. The proposed MHS algorithm is designed based on elitism. In...

A Hybrid Algorithm using Firefly, Genetic, and Local Search Algorithms

In this paper, a hybrid multi-objective algorithm consisting of features of genetic and firefly algorithms is presented. The algorithm starts with a set of fireflies (particles) that are randomly distributed in the solution space; these particles converge to the optimal solution of the problem during the evolutionary stages. Then, a local search plan is presented and implemented for searching s...

Using Genetic Algorithms and Dominance Concepts for Generating Reduced Test Data

Testing takes a considerable amount of the time and resources that are spent on producing software. Testing accounts for approximately 50% of the cost of the development of a software system. Therefore, techniques to reduce the cost of testing would be useful. This paper presents an automatic test-data generation technique that uses a genetic algorithm (GA). This technique applies the concepts ...