Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...
Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...
1 School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India 2 Centre for Smart Grid Technologies, Vellore Institute of Technology, Chennai, Tamil Nadu, ...
Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Abstract: To address the issues of insufficient population diversity and the tendency to fall into local convergence in the NSGA-II algorithm for distributed heterogeneous flexible job shop scheduling ...
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