BRAIN. Broad Research in Artificial Intelligence and Neuroscience

Volume: 6 | Issue: 1-2

Realizing an Optimization Approach Inspired from Piaget's Theory on Cognitive Development

Utku Kose - Usak University, Usak, Turkey (TR), Ahmet Arslan - Selcuk University, Konya, Turkey (TR),

Abstract

The objective of this paper is to introduce an artificial intelligence based optimization  approach, which is inspired from Piaget's theory on cognitive development. The approach has been  designed according to essential processes that an individual may experience while learning  something new or improving his / her knowledge. These processes are associated with the Piaget's  ideas on an individual's cognitive development. The approach expressed in this paper is a simple  algorithm employing swarm intelligence oriented tasks in order to overcome single-objective  optimization problems. For evaluating effectiveness of this early version of the algorithm, test  operations have been done via some benchmark functions. The obtained results show that the  approach / algorithm can be an alternative to the literature in terms of single-objective optimization.
The authors have suggested the name: Cognitive Development Optimization Algorithm (CoDOA)  for the related intelligent optimization approach.

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