I'm a software developer and writer, passionate about learning and sharing knowledge and one way I do that is through writing. I'm a software developer and writer, passionate about learning and ...

Abstract: To address the problems of slow convergence, low search accuracy, and easy fall into local optimum, and generating a large number of infeasible solutions when solving the 0–1 Knapsack ...

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

A major barrier to the wider use of supervised learning in emerging applications, such as genomic selection, is the lack of sufficient and representative labeled data to train prediction models. The ...

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 ...