A new hybrid algorithm for optimization based on artificial fish swarm algorithm and cellular learning automata

Abstract

Abstract-

The Algorithm of Continuous Optimization Based on the Modified Cellular Automaton

“…Now we will compare our algorithm with some other metaheuristics that were considered earlier during the literature review: the artificial fish swarm algorithm based on cellular learning automata (AFSA-CLA) [15] and the evolutionary membrane algorithm (EMA) [13].…”

“…We have carried out the given comparison with metaheuristics of those authors who presented the results of computing experiments with standard test functions from ones given in Table 1. To provide equal conditions with the experiments described in the papers [13,15], the values given in the table were obtained after 300,000 function evaluations. A dash in a cell means that, for the given function, experimental data is absent.…”

“…Unlike the previous papers, in paper [15] cellular learning automata are used. In the given paper, they are merged with an artificial fish swarm algorithm, imitating the behavior of a fish swarm in search of food.…”

An Improved Artificial Fish Swarm Algorithm based on Hybrid Behavior Selection

“…Huadong Chen et al, [24] reported a hybrid algorithm to train forward neural network using a hybrid of artificial fish swarm algorithm and particle swarm optimization. In [25], a new algorithm is proposed for optimization in continuous and static environments by hybridizing cellular learning automata and artificial fish swarm algorithm. Experimental results show that proposed method has an acceptable performance.…”

A Novel Energy Aware Node Clustering Algorithm for Wireless Sensor Networks Using a Modified Artificial Fish Swarm Algorithm

“…According to this property, AFSA model was proposed by Free-Movement, Food-Search, Swarm-Movement and Follow Behaviors in order to search the problem space. This algorithm is used in different applications [6] such as neural networks [7,8], color quantization [9], dynamic optimization problems [10], physics [11], global optimization [12][13][14][15], and data clustering [16].…”