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A cooperative coevolutionary genetic programming hyper-heuristic for multi-objective makespan and cost optimization in cloud workflow scheduling

Zaki, Tomás; Zeiträg, Yannik; Neves, Rui; Figueira, … - In: Computers & operations research : an international journal 172 (2024), pp. 1-17

Persistent link: https://www.econbiz.de/10015066814

Optimal administrative geographies : an algorithmic approach

Datta, Dilip; Figueira, José Rui; Gourtani, Arash … - In: Socio-economic planning sciences : the international … 47 (2013) 3, pp. 247-257

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Single row facility layout problem using a permutation-based genetic algorithm

Datta, Dilip; Amaral, André R. S.; Figueira, José Rui - In: European journal of operational research : EJOR 213 (2011) 2, pp. 388-394

Persistent link: https://www.econbiz.de/10009158163

Multi-objective optimization in partitioning the healthcare system of Parana State in Brazil

Steiner, Maria Teresinha Arns; Datta, Dilip; Steiner … - In: Omega : the international journal of management science 52 (2015), pp. 53-64

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Non-dominated sorting genetic-based algorithm for exploiting a large-sized fuzzy outranking relation

Leyva López, Juan C.; Solano Noriega, Jesús Jaime; … - In: European journal of operational research : EJOR 293 (2021) 2, pp. 615-631

Persistent link: https://www.econbiz.de/10012513242

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

A cooperative coevolutionary hyper-heuristic approach to solve lot-sizing and job shop scheduling problems using genetic programming

Zeiträg, Yannik; Figueira, José Rui; Figueira, Gonçalo - In: International journal of production research 62 (2024) 16, pp. 5850-5877

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Surrogate-Assisted Automatic Evolving of Dispatching Rules for Multi-Objective Dynamic Job Shop Scheduling Using Genetic Programming

Zeiträg, Yannik; Figueira, José Rui; Horta, Nuno; … - 2022

Dispatching rules are simple but efficient heuristics to solve multi-objective job shop scheduling problems, particularly useful to face the challenges of dynamic shop environments. A promising method to automatically evolve such rules represents genetic programming based hyper-heuristic...

Persistent link: https://www.econbiz.de/10013298636