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Cockroach Swarm Optimization Modifications and Application
| Content Provider | Scilit |
|---|---|
| Author | Kwiecien, Joanna |
| Copyright Year | 2020 |
| Description | In the chapter we focus on a cockroach swarm optimization (CSO) algorithm, which has the advantage of being easily implementable. We begin by giving a brief overview and the pseudo-code form of the CSO algorithm. Then, we present some modifications of CSO including inertia weight, stochastic constriction factor, hunger component, and various neighborhoods. Moreover, the purpose of this section is to demonstrate how the CSO algorithm can be adapted for solving combinatorial optimization problems. Therefore, we present an application of the CSO algorithm for the traveling salesman problem and its results. The final section derives useful conclusions. Book Name: Swarm Intelligence Algorithms |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2018-0-88806-8&isbn=9780429422607&doi=10.1201/9780429422607-7&format=pdf |
| DOI | 10.1201/9780429422607-7 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2020-08-25 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Swarm Intelligence Algorithms Cybernetical Science Algorithm Stochastic Optimization Swarm Constriction Cso Cockroach Adapted Easily Pseudo |
| Content Type | Text |
| Resource Type | Chapter |