Title :
Hybrid Genetic-Ant Optimization Algorithm for continuous functions
Author :
Udawant, P. ; Patil, Nahush
Author_Institution :
Dept. of Comput. Eng., R.C. Patel Inst. of Technol., Shirpur, India
Abstract :
During the last few years, Evolutionary Computation has its growth to the extent. Its computation approaches such as Genetic Algorithms and Ant Colony Algorithm are used in optimization of the problems. These procedures and computational techniques as a result with their performance are evaluated and compared. The problem area here in this paper we have chosen is continuous functions for the simulation of values. The Hybrid form of Ant Colony Algorithm and Genetic Algorithm obtains better result than their individual implementations.
Keywords :
ant colony optimisation; genetic algorithms; ant colony algorithm; computation approaches; computational techniques; continuous functions; evolutionary computation; hybrid genetic-ant optimization algorithm; Ant Colony Algorithm; Continuous Functions; Genetic Algorithm; Mutation and Crossover;
Conference_Titel :
Engineering (NUiCONE), 2012 Nirma University International Conference on
Conference_Location :
Ahmedabad
Print_ISBN :
978-1-4673-1720-7
DOI :
10.1109/NUICONE.2012.6493183
