GRAVITATIONAL SEARCH ALGORITHM WITH CHAOTIC MAP (GSA-CM) FOR SOLVING OPTIMIZATION PROBLEMS
نویسندگان
چکیده
منابع مشابه
Gravitational Search Algorithm with Chaotic Map (gsa-cm) for Solving Optimization Problems
Gravitational Search Algorithm (GSA) is a newly heuristic algorithm inspired by nature which utilizes Newtonian gravity law and mass interactions. It has captured much attention since it has provided higher performance in solving various optimization problems. This study hybridizes the GSA and chaotic equations. Ten chaotic-based GSA (GSA-CM) methods, which define the random selections by diffe...
متن کاملGSA: A Gravitational Search Algorithm
In recent years, various heuristic optimization methods have been developed. Many of these methods are inspired by swarm behaviors in nature. In this paper, a new optimization algorithm based on the law of gravity and mass interactions is introduced. In the proposed algorithm, the searcher agents are a collection of masses which interact with each other based on the Newtonian gravity and the la...
متن کاملEFFICIENCY OF IMPROVED HARMONY SEARCH ALGORITHM FOR SOLVING ENGINEERING OPTIMIZATION PROBLEMS
Many optimization techniques have been proposed since the inception of engineering optimization in 1960s. Traditional mathematical modeling-based approaches are incompetent to solve the engineering optimization problems, as these problems have complex system that involves large number of design variables as well as equality or inequality constraints. In order to overcome the various difficultie...
متن کاملFOA: ‘Following’ Optimization Algorithm for solving Power engineering optimization problems
These days randomized-based population optimization algorithms are in wide use in different branches of science such as bioinformatics, chemical physics andpower engineering. An important group of these algorithms is inspired by physical processes or entities’ behavior. A new approach of applying optimization-based social relationships among the members of a community is investigated in this pa...
متن کاملA Hybrid Genetic Scatter Search Algorithm for Solving Optimization Problems
The search methods that have been developed to investigate the optimum point of any optimization problem are suffering from some shortcomings especially that are complex and NP-hard problems. The progress that have been achieved in the filed of information technology leads to developing a new search methods called "intelligent search methods". This paper highlights hybrid genetic scatter search...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Research in Engineering and Technology
سال: 2016
ISSN: 2321-7308,2319-1163
DOI: 10.15623/ijret.2016.0502035