Evolutionary algorithms are becoming increasingly valuable in solving large-scale, realistic engineering multiobjective optimization problems, which typically require consideration of conflicting and competing design issues. A criticism of Evolutionary Algorithms might be the lack of efficient and robust generic methods to handle constraints. The most widespread approach for constrained search ...

Abstract This paper presents a bi-objective model for the design and optimization of sustainable hierarchical multi-modal hub network. The proposed focuses on sustainability by considering economic, environmental, social aspects decisions in A case Turkish network freight transportation is used to validate model. To solve small-sized problems, augmented epsilon constraint method version 2 (AUGM...

In this research, a bi-objective scheduling problem with controllable processing times on identical parallel machines is investigated. The direction of this paper is mainly motivated by the adoption of the just-in-time (JIT) philosophy on identical parallel machines in terms of bi-objective approach, where the job processing times are controllable. The aim of this study is to simultaneously min...

Gene expressions by microarray data technique have been effectively utilized for classification and diagnostic of cancer nodules. Numerous data mining techniques like clustering are presently applied for identifying cancer using gene expression data. An unsupervised learning technique is a clustering technique used to find out grouping structure in a set of data. The problem of feature selectio...

Each year, disasters (natural or man-made) cause a lot of damage and take many people's lives. In this situation, volunteers come to help. While the proper management is very effective in controlling crisis, lack can create another crisis. Therefore, we introduce model deal with volunteer assignment problem by considering two qualitative objective functions: The first one minimizing mean import...

this paper proposes a bi-objective model for the facility location problem under a congestion system. the idea of the model is motivated by applications of locating servers in bank automated teller machines (atms), communication networks, and so on. this model can be specifically considered for situations in which fixed service facilities are congested by stochastic demand within queueing frame...