Co-Operation of Biology Related Algorithms

Author

Akhmedova, Shakhnaz ; Semenkin, Eugene

Author_Institution

Dept. of Syst. Anal. & Oper. Res., Siberian State Aerosp. Univ., Krasnoyarsk, Russia

fYear

2013

fDate

20-23 June 2013

Firstpage

2207

Lastpage

2214

Abstract

A new meta-heuristic algorithm, called Co-Operation of Biology Related Algorithms (COBRA), for solving real-parameter optimization problems is introduced and described. The algorithm is based on cooperation of biologically inspired algorithms such as Particle Swarm Optimization (PSO), Wolf Pack Search Algorithm (WPS), Firefly Algorithm (FFA), Cuckoo Search Algorithm (CSA) and Bat Algorithm (BA). The proposed algorithm performance is evaluated on given 28 test functions and its workability and usefulness is demonstrated. Ways of algorithm improvement are discussed.

Keywords

biology; optimisation; BA; Bat algorithm; COBRA; CSA; Cuckoo search algorithm; FFA; PSO; WPS; Wolf Pack search algorithm; co-operation of biology related algorithm; cooperation of biologically inspired algorithms; firefly algorithm; meta-heuristic algorithm; particle swarm optimization; real-parameter optimization problems; test functions; Algorithm design and analysis; Barium; Birds; Optimization; Sociology; Statistics; cooperation; nature-inspired strategy; real-parameter black box optimization; self-tuning; swarm intelligence;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation (CEC), 2013 IEEE Congress on

Conference_Location

Cancun

Print_ISBN

978-1-4799-0453-2

Electronic_ISBN

978-1-4799-0452-5

Type

conf

DOI

10.1109/CEC.2013.6557831

Filename

6557831