Multiobjective Hooke–Jeeves algorithm with a stochastic Newton–Raphson-like step-size method

•The multiobjective version of Hooke–Jeeves (MOJH) algorithm is proposed.•New step size methodology from Newton–Raphson (NR) Algorithm is integrated on (MOJH).•The performance of MOJH is improved with NR-based stochastic step size method. Computational optimization algorithms are focused on the impr...

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Vydané v:	Expert systems with applications Ročník 117; s. 166 - 175
Hlavní autori:	Altinoz, O. Tolga, Yilmaz, A. Egemen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier Ltd 01.03.2019 Elsevier BV
Predmet:	90C15 90C29 90C99 AGE-II Algorithms Artificial intelligence Classification Computational efficiency Data analysis Datasets Expert systems Genetic algorithms Heuristic methods Hooke–Jeeves MOEAD Multiobjective Multiple objective analysis Newton-Raphson method Newton–Raphson Optimization Sorting algorithms Multiobjective MOEAD optimization Hooke–Jeeves 90C99 Newton–Raphson 90C29 90C15 AGE-II
ISSN:	0957-4174, 1873-6793
On-line prístup:	Získať plný text
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