A hybrid iterated local search algorithm with adaptive perturbation mechanism by success-history based parameter adaptation for differential evolution (SHADE)-Reference-Cited by-同舟云学术

A hybrid iterated local search algorithm with adaptive perturbation mechanism by success-history based parameter adaptation for differential evolution (SHADE)

Published:2019-05-06 Issue:3 Volume:52 Page:367-383
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Zhao Fuqing¹^ORCID,He Xuan¹,Yang Guoqiang¹,Ma Weimin²,Zhang Chuck³,Song Houbin¹

Affiliation:

1. School of Computer and Communication Technology, Lanzhou University of Technology, Lanzhou, People’s Republic of China

2. School of Economics and Management, Tongji University, Shanghai, People’s Republic of China

3. H.Milton Stewart School of Industrial & Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA

Funder

National Natural Science Foundation of China

Key Research Programs of Science and Technology Commission Foundation of Gansu Province

Lanzhou Science Bureau

Zhejiang Provincial Natural Science Foundation

Wenzhou Public Welfare Science and Technology

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2019.1595611

Reference45 articles.

1. An Iterated Local Search Algorithm for Estimating the Parameters of the Gamma/Gompertz Distribution

2. Fast simulated annealing hybridized with quenching for solving job shop scheduling problem

3. A multi-start iterated local search algorithm for the generalized quadratic multiple knapsack problem

4. A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited–memory BFGS optimization algorithms

5. An iterated-local-search heuristic for the resource-constrained weighted earliness-tardiness project scheduling problem

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