A literature review and critical analysis of metaheuristics recently developed
Metaheuristic algorithms have applicability in various fields where it is necessary to solve
optimization problems. It has been a common practice in this field for several years to …
optimization problems. It has been a common practice in this field for several years to …
An Effective Neighborhood Solution Clipping Method for Large-Scale Job Shop Scheduling Problem.
S Wang, X Li, Q Liu - CMES-Computer Modeling in …, 2023 - search.ebscohost.com
The job shop scheduling problem (JSSP) is a classical combinatorial optimization problem
that exists widely in diverse scenarios of manufacturing systems. It is a well-known NP-hard …
that exists widely in diverse scenarios of manufacturing systems. It is a well-known NP-hard …
[HTML][HTML] Exploring the evolution of machine scheduling through a computational approach
Since 2000, the field of machine scheduling—an integral part of computer science and
operations research—has seen significant advancements. This paper explores the dynamic …
operations research—has seen significant advancements. This paper explores the dynamic …
[PDF][PDF] Mushroom Picking Framework with Cache Memories for Solving Job Shop Scheduling Problem.
P Jedrzejowicz, I Wierzbowska - FedCSIS (Communication Papers), 2023 - annals-csis.org
Applying population-based metaheuristics is a known method of solving difficult optimization
problems. In this paper the search for the best solution is conducted by decentralized, self …
problems. In this paper the search for the best solution is conducted by decentralized, self …