Titlebook: Advanced Optimization by Nature-Inspired Algorithms; Omid Bozorg-Haddad Book 2018 Springer Nature Singapore Pte Ltd. 2018 Pattern Search (

裂縫

hermitage

愚笨

食料

Kaushik Deuti,S. R. Ganesh,Kailash Chandrahm iteration procedure, and the computational steps of the algorithm are detailed. Finally, a pseudo code of CSO ?algorithm? is also presented to demonstrate the implementation of this optimization technique.

浪蕩子

https://doi.org/10.1007/978-981-16-9777-7cluding derivative and other mathematical methods may not be practical to new complex problems. Therefore new optimization algorithms are needed. In the past decades many algorithms were developed and used for different optimization problems, which can be divided into three categories including clas

短程旅游

Proclaim

Giuseppe Pignatti,Sandro Pignattian educational classroom environment. It has an interesting exclusivity which may facilitate the solution process of optimization problems. In this chapter, a brief literature review of the TLBO algorithm is first presented. Then, the working process and two phases of TLBO (teacher phase and learner

armistice

Biodiversity in the Marine Environmentn model. This algorithm was developed by Gandomi and Alavi (.) and the preliminary studies illustrated its potential in solving numerous complex engineering optimization problems. In this chapter, the natural process behind a standard KHA is described.

llibretto

https://doi.org/10.1007/978-3-030-03083-4 sense. In Sect.?., an overview of the implementations of SSO is presented. The underlying idea of the algorithm is discussed in Sect.?.. The mathematical formulation and a pseudo-code are presented in Sects.?. and ., respectively. Section?. is devoted to conclusion.

潛伏期

Stephen P. Kirkman,Kumbi Kilongo Nsingi, the GE algorithm and the underlying idea are introduced and its applications in some studies are reviewed. Then, the mathematical formulation and a pseudo-code of GE are discussed. Finally, the conclusion is presented.