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A novel hybrid meta-heuristic technique applied to the wellknown benchmark optimization problems

Abtahi, Amir-Reza; Bijari, Afsane - In: Journal of industrial engineering international 13 (2017) 1, pp. 93-105

In this paper, a hybrid meta-heuristic algorithm, based on imperialistic competition algorithm (ICA), harmony search (HS), and simulated annealing (SA) is presented. The body of the proposed hybrid algorithm is based on ICA. The proposed hybrid algorithm inherits the advantages of the process of...

Persistent link: https://www.econbiz.de/10011565210

Solving large-scale multidimensional knapsack problems with a new binary harmony search algorithm

Kong, Xiangyong; Gao, Liqun; Ouyang, Haibin; Li, Steve - In: Computers & operations research : and their … 63 (2015), pp. 7-22

Persistent link: https://www.econbiz.de/10011344167

Novel hybrid heuristics for an extension of the dynamic relay deployment problem over disaster areas

Bilbao, Miren Nekane; Gil-López, Sergio; Del Ser, Javier; … - In: Top : transactions in operations research 22 (2014) 3, pp. 997-1016

Persistent link: https://www.econbiz.de/10010437097

A heuristic based harmony search algorithm for maximum clique problem

Assad, Assif; Deep, Kusum - In: Opsearch : journal of the Operational Research Society … 55 (2018) 2, pp. 411-433

Persistent link: https://www.econbiz.de/10011882101

A critical analysis of the harmony search algorithm : how not to solve sudoku

Weyland, Dennis - In: Operations research perspectives 2 (2015), pp. 97-105

This article presents a critical analysis of the harmony search metaheuristic framework. We formally prove that the harmony search algorithm is a special case of evolution strategies. First, this implies that the harmony search algorithm itself does not offer any novelty, apart from using a...

Persistent link: https://www.econbiz.de/10011822500

A sequence learning harmony search algorithm for the flexible process planning problem

Luo, Kaiping - In: International journal of production research 60 (2022) 10, pp. 3182-3200

Persistent link: https://www.econbiz.de/10013499099

Estimation of processing time using machine learning and real factory data for optimization of parallel machine scheduling problem

Yamashiro, Hirochika; Nonaka, Hirofumi - In: Operations research perspectives 8 (2021), pp. 1-9

Traditionally, mathematical optimization methods have been applied in manufacturing industries where production …-learning model. Although there are studies that use machine learning for scheduling optimization itself, it should be noted that the … Light gradient-boosted machine (LightGBM) algorithm and Ridge performed the best with MAPE and RMSE. The optimization of …

Persistent link: https://www.econbiz.de/10012596666

Vector assignment ordered median problem : a unified median problem

Lei, Ting L.; Church, Richard L. - In: International regional science review 37 (2014) 2, pp. 194-224

Persistent link: https://www.econbiz.de/10011308225

Linear programming-based algorithms for the minimum makespan high multiplicity jobshop problem

Masin, Michael; Raviv, Tal - In: Journal of scheduling 17 (2014) 4, pp. 321-338

Persistent link: https://www.econbiz.de/10010382543

A review of methods and algorithms for optimizing construction scheduling

Zhou, J.; Love, Peter; Wang, X.; Teo, Kok Lay; Irani, Zahir - In: Journal of the Operational Research Society : OR 64 (2013) 8, pp. 1091-1105

Persistent link: https://www.econbiz.de/10009788183

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