1.

Record Nr.

UNINA9910768434503321

Autore

Ouaarab Aziz

Titolo

Discrete Cuckoo Search for Combinatorial Optimization [[electronic resource] /] / by Aziz Ouaarab

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020

ISBN

981-15-3836-0

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (138 pages)

Collana

Springer Tracts in Nature-Inspired Computing, , 2524-552X

Disciplina

519.64

Soggetti

Computational intelligence

Mathematical optimization

Algorithms

Computational Intelligence

Discrete Optimization

Algorithm Analysis and Problem Complexity

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Combinatorial optimization space -- Solving COPs -- From CS to DCS -- DCS and the studied COPs -- Cuckoo search Random key encoding.

Sommario/riassunto

This book provides a literature review of techniques used to pass from continuous to combinatorial space, before discussing a detailed example with individual steps of how cuckoo search (CS) can be adapted to solve combinatorial optimization problems. It demonstrates the application of CS to three different problems and describes their source code. The content is divided into five chapters, the first of which provides a technical description, together with examples of combinatorial search spaces. The second chapter summarizes a diverse range of methods used to solve combinatorial optimization problems. In turn, the third chapter presents a description of CS, its formulation and characteristics. In the fourth chapter, the application of discrete cuckoo search (DCS) to solve three POCs (the traveling salesman problem, quadratic assignment problem and job shop scheduling problem) is explained, focusing mainly on a reinterpretation of the terminology used in CS and its source of inspiration. In closing, the fifth chapter discusses random-key cuckoo search (RKCS) using



random keys to represent positions found by cuckoo search in the TSP and QAP solution space.