due to the importance of supplier selection issue in supply chain management (scm) and ,also,  the increasing tendency of organizations to their social responsibilities, in this paper, we survey the supplier selection issue as a multi objective problem while considering the factor of corporate social responsibility (csr) as a mathematical parameter. the purpose of this paper is to design a mode...

A multi-objective linked simulation and optimization (LSO) model for a three dimensional saltwater intrusion problem has been developed. The LSO employs HST3D and Box’s algorithm. The weighting method of multi-objective optimization solves the multi-objective planning problem. The model is capable of determining the optimal pumping rates that minimize the saline concentration at the well sites,...

Generator Maintenance Scheduling (GMS) problem in a vertically integrated electric utility system is considered in this paper. The cost and reliability objectives are included in the problem formulation. The GMS is formulated as a non linear, heavily constrained multi-objective optimization problem and the non dominated solutions are obtained using multi objective hybrid integer coded different...

Unmanned Aerial Vehicle (UAV) is very useful for information gathering in Intelligence, Surveillance, and Reconnaissance (ISR) mission. On the basis of uncertainty theory, the main purpose of this paper is to study a new kind of UAV ISR mission planning problem involving multiple objectives under uncertain environment. In particular, the mission planning objectives are influenced by the same un...

In this paper we review different approaches for scheduling projects in multi-project environments. We show the evolution of the methodologies from the Resource Constrained Project Scheduling Problem to the Decentralized Resource Constrained Multi-Project Scheduling Problem. We argue that traditional methods used in project scheduling cannot cope with the complexity of current real portfolios p...

This paper will investigate the optimum portfolio for an investor, taking into account 5 criteria. The mean variance model of portfolio optimization that was introduced by Markowitz includes two objective functions; these two criteria, risk and return do not encompass all of the information about investment; information like annual dividends, S&P star ranking and return in later years which is ...

The most important issue in multi-objective optimization problems is to determine the Pareto points along the Pareto frontier. If the optimization problem involves multiple conflicting objectives, the results obtained from the Pareto-optimality will have the trade-off solutions that shaping the Pareto frontier. Each of these solutions lies at the boundary of the Pareto frontier, such that the i...

in this paper, a multi-period and multi-resource operating room (or) scheduling and rescheduling problem with elective and semi-elective (semi-urgent) patients is addressed. a scheduling-rescheduling framework based on the so-called rolling horizon approach is proposed to solve the problem. the core of the proposed framework is a novel proposed mixed-integer linear programming (milp) model with...

this paper presents a multi-criteria vehicle routing problem with soft time windows (vrpstw) to mini-mize fleet cost, routes cost, and violation of soft time windows penalty. in this case, the fleet is heterogene-ous. the vrpstw consists of a number of constraints in which vehicles are allowed to serve customers out of the desirable time window by a penalty. it is assumed that this relaxation a...

Generating a set of the good DNA sequences needs to optimize multiple objectives and to satisfy several constraints. Therefore, it can be regarded as an instance of constrained multi-objective optimization problem. We apply the controlled elitist non-dominating sorting genetic algorithm with constrained tournament selection to this problem. First, multi-objective approach and constrained multi-...