A Systematic Review on Integer Multi-objective Adjustable Robust Counterpart Optimization Model Using Benders Decomposition

Solving mixed-integer robust optimization problems with interval uncertainty using Benders decomposition

Sauleh Siddiqui*, Steven A Gabriel and Shapour Azarm Johns Hopkins University, Baltimore, MD, USA; Department of Civil Engineering, Applied Mathematics & Statistics, and Scientific Computation Program, University of Maryland, College Park, MD, USA; and Department of Mechanical Engineering, Applied Mathematics & Statistics, and Scientific Computation Program, University of Maryland, College Park...

Benders Decomposition Approach to Robust Mixed Integer Programming

A nonlinear multi objective model for the product portfolio optimization: An integer programming

Optimization of the product portfolio has been recognized as a critical problem in industry, management, economy and so on. It aims at the selection of an optimal mix of the products to offer in the target market. As a probability function, reliability is an essential objective of the problem which linear models often fail to evaluate it. Here, we develop a multiobjective integer nonlinear cons...

Multi-objective optimization design of plate-fin heat sinks using an Evolutionary Algorithm Based On Decomposition

This article has no abstract.

A Comprehensive Review on Multi-Objective Optimization Using Genetic Algorithms

In real world applications, most of the optimization problems involve more than one objective to be optimized. The objectives in most of engineering problems are often conflicting, i.e., maximize performance, minimize cost, maximize reliability, etc. In the case, one extreme solution would not satisfy both objective functions and the optimal solution of one objective will not necessary be the b...