Social Spider Optimization Algorithm: Modifications, Applications, and Perspectives

Abstract

Swarm intelligence (SI) is a research field which has recently attracted the attention of several scientific communities. An SI approach tries to characterize the collective behavior of animal or insect groups to build a search strategy. These methods consider biological systems, which can be modeled as optimization processes to a certain extent. The Social Spider Optimization (SSO) is a novel swarm algorithm that is based on the cooperative characteristics of the social spider. In SSO, search agents represent a set of spiders which collectively move according to the biological behavior of the colony. In most of SI algorithms, all individuals are modeled considering the same properties and behavior. In contrast, SSO defines two different search agents: male and female. Therefore, according to the gender, each individual is conducted by using a different evolutionary operation which emulates its biological role in the colony. This individual categorization allows reducing critical flaws present in several SI approaches such as incorrect exploration-exploitation balance and premature convergence. After its introduction, SSO has been modified and applied in several engineering domains. In this paper, the state of the art, improvements, and applications of the SSO are reviewed.

Optimal design of autonomous desalination with storage energy system using SSO algorithm

“…The SSO algorithm is a swarm technique that mimics the behavior of social spiders in nature to perform optimization . SSO converts the solution of any problem to a position in its web to starts the commutation between spiders.…”

“…The SSO algorithm is a swarm technique that mimics the behavior of social spiders in nature to perform optimization. 32 SSO converts the solution of any problem to a position in its web to starts the commutation between spiders. The spider's communication is performed by the vibration that is transmitted when any spider moves to a new position.…”

Design and Implementation of a Fuzzy Logic Controller for Inverted Pendulum System Based on Evolutionary Optimization Algorithms

“…SSO is an evolutionary optimization method, its idea inspired by its cooperative properties in the spider colony society [24]. In the SSO, the space of elements is a group of spiders that behave together simulate to the natural social of a spider colony.…”

“…Else it is neglected. Figure 9 shows the complete evolutionary operation by use flow chart way [24].…”

Design of Interval Type-2 Fuzzy Logic Controllers Based on Several Evolutionary Optimization Algorithms for Inverted Pendulum System

“…SSO is an evolutionary optimization method, its idea inspired from its cooperative properties in the spider colony society [24]. In the SSO, the space of elements is a group of spiders that behave together simulate to the natural social of a spider colony.…”