Hybrid evolutionary algorithms and Lagrangian relaxation for multi-period star hub median problem considering financial and service quality issues

Tikani, Hamid; Ramezanian, Reza; Setak, Mostafa; Woensel, Tom Van

doi:10.1016/j.engappai.2020.104056

Cited by 9 publications

(6 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The SCGA benefits caching strategy, which leads to improve the run-time performance and accelerate the exploration process by storing repetitive solutions during the optimization process (Tikani et al 2020b). More precisely, once a repetitive genetic code is met, in subsequent generations, the related fitness is evoked from the provided cache memory.…”

Section: Hybrid Optimization Methods Using Caching Ga and Lsfsnmentioning

confidence: 99%

A risk-constrained time-dependent cash-in-transit routing problem in multigraph under uncertainty

Tikani

Setak

Demir

2021

European Journal of Operational Research

View full text Add to dashboard Cite

Section: Hybrid Optimization Methods Using Caching Ga and Lsfsnmentioning

confidence: 99%

A risk-constrained time-dependent cash-in-transit routing problem in multigraph under uncertainty

Tikani

Setak

Demir

2021

European Journal of Operational Research

View full text Add to dashboard Cite

“…Using the immigration operator leads to producing new solutions, and in general, this operator helps to explore more parts of the search space (Tikani et al, 2021). The solutions added by immigration replace the low-quality solutions of the population.…”

Section: Competition Stagementioning

confidence: 99%

“…Using the immigration operator leads to producing new solutions, and in general, this operator helps to explore more parts of the search space (Tikani et al. , 2021).…”

Section: Solution Approachmentioning

confidence: 99%

Designing a multi-period and multi-product resilient mixed supply chain network under chain-to-chain competition

Vali-Siar

Roghanian

2022

View full text Add to dashboard Cite

PurposeThis study addresses resilient mixed supply chain network design (SCND) and aims to minimize the expected total cost of the supply chain (SC) considering disruptions. The capacity of facilities is considered uncertain. In order to get closer to real-world situations, competition between SCs is considered.Design/methodology/approachA two-stage stochastic programming model is developed for designing the SC network. The location of facilities and selection of suppliers are considered first-stage decisions, and the determination of materials and products flows are second-stage decisions. Some resilience strategies are applied to mitigate the negative impacts of disruptions.FindingsThe results indicate that considering resilience and applying the related strategies are vitally important, and resilience strategies can significantly improve the SC objective and maintain market share. Also, it is confirmed that unrealistic decisions will be made without considering the competition.Originality/valueThis study contributes to the literature by proposing a novel mathematical model for the resilient mixed SCND problem. The other contribution is considering the chain-to-chain competition in collecting returned products and selling recycled products to other SCs in a mixed SC under disruptions. Also, a novel hybrid metaheuristic is developed to cope with the complexity of the model.

show abstract

“…Immigration operator is performed to escape local optima by exploring new solution space. To do this, a part of poor individuals at each generation is replaced with some new randomly created immigrants [31].…”

Section: Migration Operatormentioning

confidence: 99%

Multigraph Modeling for Urban Distribution of Emergency Commodities with Semisoft Time Windows under Uncertainty

Tikani

Setak

Abbasi

2021

Journal of Advanced Transportation

Self Cite

View full text Add to dashboard Cite

In this paper, we studied a stochastic bi-objective mathematical model for effective and reliable rescue operations in multigraph network. The problem is addressed by a two-stage stochastic nonlinear mixed-integer program where the reliability of routes is explicitly traded-off with total weighted completion time. The underlying transportation network is able to keep a group of multiattribute parallel arcs between every pair of nodes. By this, the proposed model should consider the routing decision in logistic planning along with the path selection in an uncertain condition. The first stage of the model concerns with the vehicle routing decisions which is not involved with random parameters; besides, the second stage of the model involves with the departure time at each demand node and path finding decisions after observation of random vectors in the first stage considering a finite number of scenarios. To efficiently solve the presented model, an enhanced nondominated sorting genetic algorithm II (NSGA-II) is proposed. The effectiveness of the introduced method is then evaluated by conducting several numerical examples. The results implied the high performance of our method in comparison to the standard NSGA-II. In further analyses, we investigated the beneficiary of using multigraph setting and showed the applicability of the proposed model using a real transportation case.

show abstract

Hybrid evolutionary algorithms and Lagrangian relaxation for multi-period star hub median problem considering financial and service quality issues

Cited by 9 publications

References 59 publications

A risk-constrained time-dependent cash-in-transit routing problem in multigraph under uncertainty

A risk-constrained time-dependent cash-in-transit routing problem in multigraph under uncertainty

Designing a multi-period and multi-product resilient mixed supply chain network under chain-to-chain competition

Multigraph Modeling for Urban Distribution of Emergency Commodities with Semisoft Time Windows under Uncertainty

Contact Info

Product

Resources

About