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Automatically evolving preference-based dispatching rules for multi-objective job shop scheduling

Zeiträg, Yannik; Figueira, José Rui - In: Journal of scheduling : JOS 26 (2023) 3, pp. 289-314

Persistent link: https://www.econbiz.de/10014326159

Time and space multi-manned assembly line balancing problem using genetic algorithm

Zamzam, Nessren; Elakkad, Ahmed - In: Journal of industrial engineering and management : JIEM 14 (2021) 4, pp. 733-749

Purpose: Time and Space assembly line balancing problem (TSALBP) is the problem of balancing the line taking the area required by the task and to store the tools into consideration. This area is important to be considered to minimize unplanned traveling distance by the workers and consequently...

Persistent link: https://www.econbiz.de/10012814907

A multi-objective evolutionary optimisation model for heterogeneous vehicles routing and relief items scheduling in humanitarian crises

Mishra, Bhupesh Kumar; Dahal, Keshav; Pervez, Zeeshan; … - In: Decision analytics journal 5 (2022), pp. 1-10

In a disaster scenario, relief items distribution is required as early as possible for the disaster victims to reduce the associated risks. For the distribution tasks, an effective and efficient relief items distribution model is essential to generate relief items distribution schedules to...

Persistent link: https://www.econbiz.de/10014336753

Solving no-wait two-stage flexible flow shop scheduling problem with unrelated parallel machines and rework time by the adjusted discrete Multi Objective Invasive Weed Optimization and fuzzy dominance approach

Jafarzadeh, Hassan; Moradinasab, Nazanin; Gerami, Ali - In: Journal of industrial engineering and management : JIEM 10 (2017) 5, pp. 887-918

Purpose: Adjusted discrete Multi-Objective Invasive Weed Optimization (DMOIWO) algorithm, which uses fuzzy dominant approach for ordering, has been proposed to solve No-wait two-stage flexible flow shop scheduling problem. Design/methodology/approach: No-wait two-stage flexible flow shop...

Persistent link: https://www.econbiz.de/10011920773

Solving the rotating seru production problem with dynamic multi-objective evolutionary algorithms

Liu, Feng; Fang, Kan; Tang, Jiafu; Yin, Yong - In: Journal of management science and engineering 7 (2022) 1, pp. 48-66

Today's volatile market conditions in electronic industries have lead to a new production system, seru (which is the … particular, the rotating seru has been widely implemented, where workers are fully cross-trained with the same skill level but … may be different on the proficiency of performing tasks. The rotating seru production problem, which determines the …

Persistent link: https://www.econbiz.de/10013207391

Multi-objective optimization of transporting blood products by routing UAVs : the case of Istanbul

Ozkan, Omer - In: International transactions in operational research : a … 30 (2023) 1, pp. 302-327

Persistent link: https://www.econbiz.de/10013417004

Multi-objective hybrid flow shop scheduling with variable discrete production speed levels and time-of-use energy prices

Schulz, Sven; Buscher, Udo; Shen, Liji - In: Journal of business economics : JBE 90 (2020) 9, pp. 1315-1343

Persistent link: https://www.econbiz.de/10012316362

Pareto-optimal front generation for the bi-objective JIT scheduling problems with a piecewise linear trade-off between objectives

Babu, Sona; Girish, B. S. - In: Operations research perspectives 12 (2024), pp. 1-15

This paper proposes a novel method of Pareto front generation from a set of piecewise linear trade-off curves typically encountered in bi-objective just-in-time (JIT) scheduling problems. We have considered the simultaneous minimization of total weighted earliness and tardiness (TWET) and total...

Persistent link: https://www.econbiz.de/10015055631

A novel hybrid multi-objective metamodel-based evolutionary optimization algorithm

Baquela, Enrique Gabriel; Olivera, Ana Carolina - In: Operations research perspectives 6 (2019), pp. 1-14

Optimization via Simulation (OvS) is an useful optimization tool to find a solution to an optimization problem that is difficult to model analytically. OvS consists in evaluating potential solutions through simulation executions; however, its high computational cost is a factor that can make its...

Persistent link: https://www.econbiz.de/10012029407

Multi-objective portfolio optimization : an application of the Non-dominated Sorting Genetic Algorithm III

Muteba Mwamba, John; Mbucici, Leon Mishindo; Mba, Jules … - 2025

This study evaluates the effectiveness of the Non-dominated Sorting Genetic Algorithm III (NSGA-III) in comparison to the traditional Mean-Variance optimization method for financial portfolio management. Leveraging a dataset of global financial assets, we applied both approaches to optimize...

Persistent link: https://www.econbiz.de/10015338358