Search Results - subject:"Genetic Algorithm"

Logistics hub and route optimization in the physical internet paradigm

Naganawa, Hisatoshi; Hirata, Enna; Firdausiyah, Nailah; … - In: Logistics 8 (2024) 2, pp. 1-18

CO2 emissions. Methods: We propose a novel demography-weighted combinatorial optimization model utilizing a genetic … algorithm and the Lin-Kernighan heuristic. The model is tested with real data simulations to evaluate its performance. Results …

Persistent link: https://www.econbiz.de/10014584847

Systematic literature mapping : integrated system of logistic distribution for island

Suswaini, Eka; Wibowo, Mochamad Agung; Jie, Ferry - In: Journal of industrial engineering and management : JIEM 19 (2026) 1, pp. 215-227

Effective management of fuel logistic distribution is essential for ensuring timely supply chain operations and achieving product sustainability. This study employs systematic literature mapping (SLM) to identify gaps in research and potential advancements in Supply Chain Management (SCM) for...

Persistent link: https://www.econbiz.de/10015627298

A hybrid formal and optimization framework for real-time scheduling : combining extended time petri nets with genetic algorithms

Affi, Sameh; Miraoui, Imed; Khedher, Atef - In: Logistics 10 (2026) 1, pp. 1-24

In modern Industry 4.0 environments, real-time scheduling presents a complex challenge requiring both formal correctness guarantees and optimal performance. Background: Traditional approaches fail to provide an optimal integration between formal correctness guaranteeing and optimization, and...

Persistent link: https://www.econbiz.de/10015611763

MIP-based local search for permutation flowshop scheduling with makespan objective

Cáceres-Gelvez, Sebastian; Thu Huong Dang; Letchford, … - In: Computers & operations research : an international journal 186 (2026), pp. 1-11

Persistent link: https://www.econbiz.de/10015552423

A mixed-integer optimization approach to E-tailing supply chain resilience through substitution and transshipment

Karimi, Ayar; Hassani, Omid Boyer; Tavakkoli-Moghaddam, Reza - In: Supply chain analytics 13 (2026), pp. 1-17

behavioral coefficients. The model is solved using a Genetic Algorithm (GA) and evaluated on a numerical case representing an …

Persistent link: https://www.econbiz.de/10015640933

A machine learning and evolutionary optimization framework for carbon-aware supply chain routing

Sánchez-Pravos, Lorena; Parra-Domínguez, Javier; … - In: Supply chain analytics 13 (2026), pp. 1-14

optimization framework that integrates machine learning-based emission prediction with genetic algorithm optimization for … predict carbon emissions with high accuracy (MAPE: 9.48%, R2: 0.928), while a genetic algorithm optimizes routes considering …

Persistent link: https://www.econbiz.de/10015640958

A hybrid genetic algorithm with learning-to-rank-to-optimization for US equity portfolio construction

Kottas, Ferdinantos - In: International Journal of Financial Studies : open … 14 (2026) 4, pp. 1-46

genetic algorithm (GA). The GA is trained to maximize either (i) mean monthly NDCG@30 using 12-tile relevance labels or (ii …

Persistent link: https://www.econbiz.de/10015652184

Optimizing vaccination facility locations and capacity for pandemic response : a case study of Mashhad, Iran

Kheybari, Siamak; Mehrpour, Mohammad Reza; Moradi, Nima; … - In: International journal of production economics 292 (2026), pp. 1-26

Persistent link: https://www.econbiz.de/10015604713

Time-dependent Windy Rural Postman Problem : mathematical formulation and adaptive metaheuristic

Krukoski, Franklin A.; Silva, Arinei C. L.; Schmidt, … - In: Computers & operations research : an international journal 186 (2026), pp. 1-15

Persistent link: https://www.econbiz.de/10015552993

A novel mathematical model for the scheduling of a zero inventory production : an application of process scheduling in fog computing

Sharifi, Mani; Taghipour, Sharareh; Abhari, Abdolreza; … - In: Computers & operations research : an international journal 185 (2026), pp. 1-19

Persistent link: https://www.econbiz.de/10015534415