Can algorithms be both fast and simple? CWI's postdoc researcher Joakim Blikstad has shown that they can. His PhD thesis from ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue ...

Combinatorial optimisation algorithms are central to addressing problems in which the goal is to select an optimal solution from a finite set of alternatives. These algorithms have evolved ...

Abstract: The Whale Optimization Algorithm (WOA) is a novel nature-inspired algorithm, being originally dedicated to continuous function optimization. This paper modifies it to address combinatorial, ...

This paper deals with combinatorial optimization of permutation type using multi-agents algorithm (MAA). In order to improve optimization capability, we introduced the reinforcement learning and ...

Shenzhen, May 14, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Announces Research on Quantum Information Recursive Optimization (QIRO) Algorithm, for Combinatorial Optimization Problems to Expand and ...

Finally, to test whether our algorithm gives the desired result in case of real-life disturbances, we apply discrete event simulation afterwards, if possible. We investigate well-known combinatorial ...

Optimization algorithms are methods that can find the optimal or near-optimal solution to a problem by exploring the feasible region and evaluating the objective function.

Keywords: hybrid discrete state transition algorithm, tabu search, combinatorial optimization problems, elite solution set, multi-AGV task assignment problem. Citation: Hu E, He J and Shen S (2023) A ...