Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Combinatorial optimization problems are encountered often in various real-world applications, including logistics, scheduling, and network design ...

Abstract: Feature selection is a critical and prominent task in machine learning. To reduce the dimension of the feature set while maintaining the accuracy of the performance is the main aim of the ...

Abstract: Automated design of metaheuristic algorithms offers an attractive avenue to reduce human effort and gain enhanced performance beyond human intuition. Current automated methods design ...

ABSTRACT: The main objective of this paper is to propose a new hybrid algorithm for solving the Bi objective green vehicle routing problem (BGVRP) from the BicriterionAnt metaheuristic. The ...