Search Results - subject:"Simheuristics"

A hybrid simheuristic algorithm for solving bi-objective stochastic flexible job shop scheduling problems

Nessari, Saman; Tavakkoli-Moghaddam, Reza; … - 2024

The flexible job shop scheduling problem (FJSSP) is a complex optimization challenge that plays a crucial role in enhancing productivity and efficiency in modern manufacturing systems, aimed at optimizing the allocation of jobs to a variable set of machines. This paper introduces an algorithm to...

Persistent link: https://www.econbiz.de/10015107976

A reliability-extended simheuristic for the sustainable vehicle routing problem with stochastic travel times and demands

Abdullahi, Hassana; Reyes-Rubiano, Lorena; Ouelhadj, Djamila - In: Journal of Heuristics 31 (2025) 2

Real-life transport operations are often subject to uncertainties in travel time or customers’ demands. Additionally, these uncertainties greatly impact the economic, environmental, and social costs of vehicle routing plans. Thus, analysing the sustainability costs of transportation activities...

Persistent link: https://www.econbiz.de/10015436634

Solving the stochastic team orienteering problem : comparing simheuristics with the sample average approximation method

Panadero, Javier; Juan, Angel A.; Ghorbani, Elnaz; … - In: International transactions in operational research : a … 31 (2024) 5, pp. 3036-3060

Persistent link: https://www.econbiz.de/10014533499

Evolutionary algorithms for a simheuristic optimization of the product-service system design

Meeß, Henri; Herzog, Michael; Alp, Enes; … - In: Journal of Intelligent Manufacturing 35 (2023) 7, pp. 3235-3257

Offering Product-Service Systems (PSS) becomes an established strategy for companies to increase the provided customer value and ensure their competitiveness. Designing PSS business models, however, remains a major challenge. One reason for this is the fact that PSS business models are...

Persistent link: https://www.econbiz.de/10015271507

Evolutionary algorithms for a simheuristic optimization of the product-service system design

Meeß, Henri; Herzog, Michael; Alp, Enes; … - In: Journal of Intelligent Manufacturing 35 (2023) 7, pp. 3235-3257

Persistent link: https://www.econbiz.de/10015402131

Optimizing transport logistics under uncertainty with simheuristics : concepts, review and trends

Castaneda, Juliana; Ghorbani, Elnaz; Ammouriova, Majsa; … - In: Logistics 6 (2022) 3, pp. 1-15

of simheuristics in the logistics and transportation field. The paper also discusses open research lines in this … knowledge area. Results: The simheuristics approaches to solving NP-hard and large-scale combinatorial optimization problems … several lines of research that are still open in the field of simheuristics. …

Persistent link: https://www.econbiz.de/10013287775

Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning

Grumbach, Felix; Müller, Anna; Reusch, Pascal; … - In: Journal of Intelligent Manufacturing 35 (2022) 2, pp. 667-686

This proof-of-concept study provides a novel method for robust-stable scheduling in dynamic flow shops based on deep reinforcement learning (DRL) implemented with OpenAI frameworks. In realistic manufacturing environments, dynamic events endanger baseline schedules, which can require a cost...

Persistent link: https://www.econbiz.de/10015166003

A multi-objective optimization model for outpatient care delivery with service fairness

Datta, Soumyajyoti; Kapoor, Rohit; Mehta, Peeyush - In: Business process management journal 29 (2023) 3, pp. 630-652

Persistent link: https://www.econbiz.de/10014291556

A simheuristic approach for evolving agent behaviour in the exploration for novel combat tactics

Lam, Chiou-Peng; Masek, Martin; Kelly, Luke; … - In: Operations research perspectives 6 (2019), pp. 1-13

The automatic generation of behavioural models for intelligent agents in military simulation and experimentation remains a challenge. Genetic Algorithms are a global optimization approach which is suitable for addressing complex problems where locating the global optimum is a difficult task....

Persistent link: https://www.econbiz.de/10012129907

Optimizing transport logistics under uncertainty with simheuristics: Concepts, review and trends

Castaneda, Juliana; Ghorbani, Elnaz; Ammouriova, Majsa; … - In: Logistics 6 (2022) 3, pp. 1-15

Persistent link: https://www.econbiz.de/10015194790