Human opinion dynamics: An inspiration to solve complex optimization problems

Abstract

Human interactions give rise to the formation of different kinds of opinions in a society. The study of formations and dynamics of opinions has been one of the most important areas in social physics. The opinion dynamics and associated social structure leads to decision making or so called opinion consensus. Opinion formation is a process of collective intelligence evolving from the integrative tendencies of social influence with the disintegrative effects of individualisation, and therefore could be exploited for developing search strategies. Here, we demonstrate that human opinion dynamics can be utilised to solve complex mathematical optimization problems. The results have been compared with a standard algorithm inspired from bird flocking behaviour and the comparison proves the efficacy of the proposed approach in general. Our investigation may open new avenues towards understanding the collective decision making.

A Novel Evolutionary Approach to Software Cost Estimation

“…It has been one of the most significant areas in social physics. Human Interactions give RISE to different kind of opinions in a society [3].In social network the formation of different kinds of opinions is an evolutionary process. There are several models describing human interaction networks like cultural dynamics, opinion dynamics, crowd behavior, human dynamics etc utilised for search strategies and complex mathematical optimization problems.…”

“…There are several models describing human interaction networks like cultural dynamics, opinion dynamics, crowd behavior, human dynamics etc utilised for search strategies and complex mathematical optimization problems. The process of collective intelligence from the tendencies of social influence with effects of individualization escapade for developing search strategies [3]. The algorithm formed based upon the opinion formation structure of individuals.…”

“…Effort calculated by COCOMO model is measured in terms of size and constant value parameters a,b,c. using Intermediate COCOMO II model in which effort can be calculated using equation (3). "Equation (3) gives the formula for effort".…”

“…Human opinion dynamics finds its applications in the areas of social physics. However recently a researcher throws light on the use of human opinion dynamics for solving complex mathematical optimization problems applied on some benchmark mathematical functions and compared the results with PSO [3].As Human being is the highest creature so the algorithm inspired by human creative problem solving process can be useful and provide better results. It is used as dynamic social impact theory as an optimized for the optimization of an impedance-tongue and results are compared with Genetic Algorithm and PSO [7].…”

Swarm intelligence algorithm inspired by route choice behavior

“…Very few researchers have utilized human swarm behavior as the basis of a swarm intelligence algorithm [21]. Kaur et al [22] proposed a new optimization algorithm for complex optimization problems based on human opinion formation models. Route choice behavior is one of the most important aspects of transportation systems for traffic prediction and management.…”