Quantum-inspired optimisation algorithms represent a class of metaheuristic techniques that draw inspiration from quantum mechanics to tackle combinatorial optimisation problems on classical hardware.

Hello, this is Kamishita. Since I bought an M4 Macbook Air, I'd like to try out various AI coding tools. I received a 30,000 yen Apple Gift Card during Apple's first sale of the year, but I had no use ...

Abstract: In this paper, we present some initial results of several meta-heuristic optimization algorithms, namely, genetic algorithms, simulated annealing, branch and bound, dynamic programming, ...

Two-dimensional (2D) irregular packing problems are widespread in manufacturing industries such as shipbuilding, metalworking, automotive production, aerospace, clothing and furniture manufacturing.

Implementation of simulated annealing algorithm for the multiple choice multidimensional knapsack problem. The multiple choice knapsack problem has n groups of items and m constraints. The objective ...

[Ahuja00] “A greedy genetic algorithm for the quadratic assignment problem”, R. Ahuja, J. Orlin, A. Tiwari, Computers and Operations Research, vol. 27, issue 10 (Sept. 2000), 917--934, ACM (2000) ...

This paper presents a continuous method for solving binary quadratic programming problems. First, the original problem is converted into an equivalent continuous optimization problem by using NCP ...