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Using the hybrid fuzzy goal programming model and hybrid genetic algorithm to solve a multi-objective location routing problem for infectious waste disposal

Narong Wichapa; Porntep Khokhajaikiat - In: Journal of industrial engineering and management : JIEM 10 (2017) 5, pp. 853-886

Purpose: Disposal of infectious waste remains one of the most serious problems in the social and environmental domains of almost every nation. Selection of new suitable locations and finding the optimal set of transport routes to transport infectious waste, namely location routing problem for...

Persistent link: https://www.econbiz.de/10011920766

Incorporating fuel delivery in network design for hydrogen fueling stations : formulation and two metaheuristic approaches

Li, Lei; Al Chami, Zaher; Manier, Hervé; Manier, Marie-Ange - In: Transportation research / E : an international journal 152 (2021), pp. 1-30

Persistent link: https://www.econbiz.de/10012648705

Integrated production planning and scheduling for a mixed batch job-shop based on alternant iterative genetic algorithm

Yan, Hong-Sen; Wan, Xiao-Qin; Xiong, Fu-Li - In: Journal of the Operational Research Society : OR 66 (2015) 8, pp. 1250-1258

Persistent link: https://www.econbiz.de/10011417187

Flowshop scheduling using value stream management principles

Bhowmick, Debraj; Maniyan, P.; Sambandam, N. - In: International journal of intelligent enterprise : IJIE 1 (2007/12) 3/4, pp. 315-326

Persistent link: https://www.econbiz.de/10009744408

Re-entrant flow shop scheduling problem with time windows using hybrid genetic algorithm based on auto-tuning strategy

Chammanlor, Chettha; Sethman, Kanchana; Chien, Chen-fu; … - In: International journal of production research 52 (2014) 9, pp. 2612-2629

Persistent link: https://www.econbiz.de/10010351875

Credibilitic mean-variance model for multi-period portfolio selection problem with risk control

Zhang, Wei-guo; Liu, Yong-jun - In: OR spectrum : quantitative approaches in management 36 (2014) 1, pp. 113-132

Persistent link: https://www.econbiz.de/10010251262

A hybrid genetic algorithm for the multi-depot open vehicle routing problem

Liu, Ran; Jiang, Zhibin; Geng, Na - In: OR spectrum : quantitative approaches in management 36 (2014) 2, pp. 401-421

Persistent link: https://www.econbiz.de/10010253878

Diabetic deduction through non-parametric analysis

Gunasekar Thangarasu; Dominic, P. D. D. - In: International journal of business information systems : … 20 (2015) 3, pp. 325-347

Persistent link: https://www.econbiz.de/10011518850

A novel hybrid genetic algorithm to solve the make-to-order sequence-dependent flow-shop scheduling problem

Mirabi, Mohammad; Fatemi Ghomi, S. M. T.; Jolai, F. - In: Journal of industrial engineering international 10 (2014), pp. 1-9

Flow-shop scheduling problem (FSP) deals with the scheduling of a set of n jobs that visit a set of m machines in the same order. As the FSP is NP-hard, there is no efficient algorithm to reach the optimal solution of the problem. To minimize the holding, delay and setup costs of large...

Persistent link: https://www.econbiz.de/10011556480

Hybrid metaheuristics for the clustered vehicle routing problem

Vidal, Thibaut; Battarra, Maria; Subramanian, Anand; … - In: Computers & operations research : and their … 58 (2015), pp. 87-99

Persistent link: https://www.econbiz.de/10010509419