Title: Social emotional optimisation algorithm with emotional model

Authors: Zhanhong Wei; Zhihua Cui; Jianchao Zeng

Addresses: Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Shanxi, 030024, China. ' Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Shanxi, 030024, China; State Key Laboratory of Novel Software Technology, Nanjing University, 210093, China. ' Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Shanxi, 030024, China

Abstract: Social emotional optimisation algorithm (SEOA) is a new swarm intelligent technique by simulating the human behaviours. In human society, the emotion guides each individual to make decision so that his/her behaviour may provide some profits. However, due to the simple setting motion, the emotion changes cannot provide enough materials. Therefore, a new emotional model is designed based on OCC model. In this model, one three-dimensional emotional space is used to calculate individuals' different emotion according to different emotional changes. Simulation results show the proposed method is effective and efficient when dealing with multi-modal famous benchmarks, especially for high dimensional cases.

Keywords: social emotional optimisation algorithm; SEOA; emotional modelling; OCC model; 3D emotional space; swarm intelligence; simulation; human behaviour; emotional changes; emotions.

DOI: 10.1504/IJCSE.2012.048090

International Journal of Computational Science and Engineering, 2012 Vol.7 No.2, pp.125 - 132

Received: 24 Jun 2011
Accepted: 30 Oct 2011
Published online: 22 Sep 2014 *

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