Gnowee: A Hybrid Metaheuristic Optimization Algorithm for Constrained, Black Box, Combinatorial Mixed-Integer Design

Mixed-Integer Constrained Optimization Based on Memetic Algorithm

Evolutionary algorithms (EAs) are population-based global search methods. They have been successfully applied to many complex optimization problems. However, EAs are frequently incapable of finding a convergence solution in default of local search mechanisms. Memetic Algorithms (MAs) are hybrid EAs that combine genetic operators with local search methods. With global exploration and local explo...

A hybrid metaheuristic algorithm for the robust pollution-routing problem

Emissions resulted from transportation activities may lead to dangerous effects on the whole environment and human health. According to sustainability principles, in recent years researchers attempt to consider the environmental burden of logistics activities in traditional logistics problems such as vehicle routing problems (VRPs). The pollution-routing problem (PRP) is an extension of the VRP...

SO-MI: A surrogate model algorithm for computationally expensive nonlinear mixed-integer black-box global optimization problems

This paper introduces a surrogate model based algorithm for computationally expensive mixed-integer black-box global optimization problems that may have computationally expensive constraints. The goal is to find accurate solutions with relatively few function evaluations. A radial basis function surrogate model (response surface) is used to select candidates for integer and continuous decision ...

A Time-Sensitive System for Black-Box Combinatorial Optimization

A hybrid algorithm for infinitely constrained optimization

In® nitely constrained (or semi-in® nite) optimization can be successfully used to solve a signi® cant variety of optimization-based engineering design problems. In this paper a new algorithm for the numerical global solution of nonlinear and nonconvex, in® nitely constrained problems is proposed. At the upper level this hybrid algorithm is a partially elitist genetic algorithm that uses, at th...