TY - JOUR ID - 72225 TI - Improved Frog Leaping Algorithm Using Cellular Learning Automata JO - International Journal of Engineering JA - IJE LA - en SN - 1025-2495 AU - ranjkesh, somayeh AD - Azad Uni,roudsar, Azad Islamic University, Branch of roudsar Y1 - 2014 PY - 2014 VL - 27 IS - 1 SP - 1 EP - 6 KW - Frog Leaping Algorithm KW - optimization KW - Cellular Learning Automata DO - N2 - In this paper, a new algorithm which is the result of the combination of cellular learning automata and frog leap algorithm (SFLA) is proposed for optimization in continuous, static environments.At the proposed algorithm, each memeplex of frogs is placed in a cell of cellular learning automata. Learning automata in each cell acts as the brain of memeplex, and will determine the strategy of motion and search.The proposed algorithm along with the standard SFLA and two global and local versions of particle swarm optimization algorithm have been tested in 30-dimensional space on five standard merit functions. Experimental results show that the proposed algorithm has a very good performance. UR - https://www.ije.ir/article_72225.html L1 - https://www.ije.ir/article_72225_870ee6e4b533602cf6f1ec1d0b8c244a.pdf ER -