ABSTRACT: This article examines some of the properties of quasi-Fejer sequences when used in quasi-gradiental techniques as an alternative to stochastic search techniques for optimizing unconstrained ...

Mixed-integer nonlinear programming (MINLP) optimisation constitutes a critical methodology in tackling complex decision-making problems where both discrete choices and continuous variables are ...

Abstract: Inspired by the search method of harmony search algorithms, we propose an other version of improved harmony search(IHS)algorithm to solve integer programming problems. This paper designs a ...

This article will introduce the concepts and topics common to all programming languages that beginners and experts must know! Do you want to learn a programming language for the first time? Do you ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

Integer Linear Programming (ILP) is the foundation of combinatorial optimization, which is extensively applied across numerous industries to resolve challenging decision-making issues. Under a set of ...

Integer programming (IP) is a powerful tool used to solve optimization problems with discrete variables. This means the variables can only take on whole number values, representing real-world ...

The output of the underlying PRNG is generally some number of bytes. Converting that to an integer in an arbitrary range can be done in a few different ways, and we'll need to pick one. This blog post ...

Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it. The traveling salesperson problem is one of the oldest ...