In this paper we propose a many-core implementation of evolutionary computation for
GPGPU (General-Purpose Graphic Processing Unit) to solve non-convex Mixed Integer Non …

This work deals with multiobjective optimization problems using Genetic Algorithms (GA). A
MultiObjective GA (MOGA) is proposed to solve multiobjective problems combining both …

Purpose–The purpose of the paper is to develop a conceptual framework that integrates the
technology and commercial issues early at the design stage to minimize warranty costs in …

In this paper, N types of vehicles having different environmental impacts and different failure
rates are considered to perform a set of missions during a predefined period. The sizing …

[ENG] Optimization problems arising from the biotechnological and food industries are
usually of non-convex nature and they often exhibit several local minima. Even though …

Optimization problems arising from the biotechnological and food industries are usually of
non-convex nature and they often exhibit several local minima. Even though advances in …

Non convex mixed integer non-linear programming problems (MINLPs) are the most general
form of global optimization problems. Such problems involve both discrete and continuous …

List of References on Constraint-Handling Techniques used with Evolutionary Algorithms
Page 1 List of References on Constraint-Handling Techniques used with Evolutionary …

In this chapter, we propose a new approach to solve the most general form of global
optimization problems, namely, non-convex Mixed-Integer Nonlinear Programming (MINLP) …

Layout determination of connectors in different mechanical configurations improves the
design characteristics. The issue has recently become more practical in sensitive industries …