Search Results - subject:"Metaheuristic"

A deep reinforcement learning hyperheuristic for the covering tour problem with varying coverage

Torabi, Parisa; Hemmati, Ahmad; Oleynik, Anna; Alendal, … - In: Computers & operations research : an international journal 174 (2025), pp. 1-11

Persistent link: https://www.econbiz.de/10015330145

A multi-type ship allocation and routing model for multi-product oil distribution in Indonesia with inventory and cost minimization considerations : a mixed-integer linear programming approach

Marudut Sirait; Peerayuth Charnsethikul; Naraphorn … - In: Logistics 9 (2025) 1, pp. 1-22

Background: Indonesia is an archipelagic country with 17,508 islands spread over the Pacific and Indian Oceans, with thousands of inter-island routes requiring a large and engaged fleet. The vast expanse of the country also leads to challenges related to optimal fleet coverage, routing, and oil...

Persistent link: https://www.econbiz.de/10015337482

A metaheuristic for a time-dependent vehicle routing problem with time windows, two vehicle fleets and synchronization on a road network

Guillen Reyes, Fernando O.; Gendreau, Michel; Potvin, … - In: EURO journal on transportation and logistics 13 (2024), pp. 1-20

adaptation of the Slack Induction by String Removals metaheuristic, which is state-of-the-art for the classical capacitated … demonstrate the optimization capabilities of this new metaheuristic on a problem which is much more complicated than the …

Persistent link: https://www.econbiz.de/10015193757

A review on microgrid optimization with meta-heuristic techniques : scopes, trends and recommendation

Akter, Afifa; Zafir, Ehsanul Islam; Dana, Nazia Hasan; … - In: Energy strategy reviews 51 (2024), pp. 1-27

assurance, and balance of renewable sources, which accelerates the need for meta-heuristic optimization algorithms (MHOAs). This …

Persistent link: https://www.econbiz.de/10014577953

Efficient optimization of robust project scheduling for industry 4.0 : a hybrid approach based on machine learning and meta-heuristic algorithms

Goli, Alireza - In: International journal of production economics 278 (2024), pp. 1-13

Persistent link: https://www.econbiz.de/10015133757

Novel comparative methodology of hybrid support vector machine with meta-heuristic algorithms to develop an integrated candlestick technical analysis model

Mahmoodi, Armin; Hashemi, Leila; Mahmoodi, Amin; … - In: Journal of capital markets studies 8 (2024) 1, pp. 67-94

heuristic algorithms: support vector machine (SVM), meta-heuristic algorithms, particle swarm optimization (PSO), imperialist …

Persistent link: https://www.econbiz.de/10015047541

Novel comparative methodology of hybrid support vector machine with meta-heuristic algorithms to develop an integrated candlestick technical analysis model

Mahmoodi, Armin; Hashemi, Leila; Mahmoodi, Amin; … - In: Journal of Capital Markets Studies (JCMS) 8 (2024) 1, pp. 67-94

heuristic algorithms: support vector machine (SVM), meta-heuristic algorithms, particle swarm optimization (PSO), imperialist …

Persistent link: https://www.econbiz.de/10015327938

Analysis of balancing solutions for simple assembly lines

Machouti, Sana El; Hlyal, Mustapha; Babay, Amel; El … - In: Journal of industrial engineering and management : JIEM 17 (2024) 3, pp. 828-852

have been published on this topic, using a variety of methods, including exact, heuristic, and metaheuristic approaches … metaheuristic approaches being the most widely used. Despite extensive research, there is a significant need for studies focusing on …

Persistent link: https://www.econbiz.de/10015386779

A comprehensive survey on the generalized traveling salesman problem

Pop, Petrică C.; Cosma, Ovidiu; Sabo, Cosmin; Sitar, … - In: European journal of operational research : EJOR 314 (2024) 3, pp. 819-835

Persistent link: https://www.econbiz.de/10014456917

A hybrid meta-heuristic algorithm for multi-objective IoT service placement in fog computing environments

Apat, Hemant Kumar; Sahoo, Bibhudutta; Goswami, Veena; … - In: Decision analytics journal 10 (2024), pp. 1-17

-convexity nature of the solution space motivates us to focus on the population-based meta-heuristic algorithm, i.e. Genetic Algorithm …

Persistent link: https://www.econbiz.de/10014541508

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