Multi objective optimization

Applying multi objective modeling to create safe job rotation schedules based upon workers' skills and idleness

by Seyed Mohammad Javad Mirzapour Al-E-Hashem

A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty

by Seyed Mohammad Javad Mirzapour Al-E-Hashem

A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty

by Seyed Mohammad Javad Mirzapour Al-E-Hashem

A Holistic Method for Reliability Performance Assessment and Critical Components Detection in Complex Networks

by Chi Zhang

IIE Transactions, Vol. 43, No. 9, pp. 661-675

Many infrastructures are now considered to be critical for both the economic development and general functioning of... more Many infrastructures are now considered to be critical for both the economic development and general functioning of modern
societies. Thus, understanding their performance is important as a basis to develop intelligent and cost-effective ways to protect these networks. In this article, a critical infrastructure is modeled as a complex network for which a new metric is defined to understand its reliability. This metric called reliability Pi
describes the average reliability between every pair of nodes in a complex network. As such, it is related to the two-terminal reliability concept in the traditional network context. Furthermore, in an effort to identify the most critical components that affect reliability Pi
, a multi-objective optimization problem, known as the critical component detection problem, is introduced. The solution to this problem provides two important insights about the behavior of a complex network: (i) an
approximation to the set of optimal solutions that identifies the most critical components; and (ii) a quantitative assessment of how these failures affect the complete complex network.

Protecting Critical Infrastructure against Intentional Attack- A Two-Stage Game with Incomplete Information

by Chi Zhang

IIE Transactions (accepted for publication)

It is now paramount to protect critical infrastructures because of their significance for the economic development and... more It is now paramount to protect critical infrastructures because of their significance for the economic development and the social well-being of modern societies. One of the main threats to these networked systems is from intentional attackers, who are resourceful and inventive in selecting time, target and means of attack. Thus, attackers’ intelligence should be considered when developing intelligent and cost-effective protection strategies. In this research, critical infrastructures are modeled as network and the development of network protection strategies is modeled as a two-stage game between a protector and an attacker with incomplete information. Due to the complexity of critical infrastructures, there are usually a large number of combinations of potential protection and attack strategies leading to a computational challenge in finding the Pareto equilibrium solutions for the proposed game. To meet this challenge, this research develops an evolutionary algorithm to solve the proposed a transformation of the game into a multi-objective optimization model.

The best selection of strategic plans in balanced scorecard using multi-objective decision making model

by Javad Dodangeh

In increasingly competitive business environments, many organizations adopt the strategic planning approach to strive... more In increasingly competitive business environments, many organizations adopt the strategic planning approach to strive for business excellence. On the other hand achievement and implementation of strategies can perform an important role for the purpose of organizations' success. Balanced scorecard is an appropriate tool for designing operational strategies. In fact one of the balanced scorecard problems is the miss selection in strategic plans' performance. So, in this paper by using proposed model, using the consensus of organization's managers and experts' opinions, measures of four perspectives and general objectives are determined in BSC, and then using experts' opinions and taking the relative importance of decision makers' opinions into consideration, by using Goal Programming model, the performances of strategic plans are selected in BSC model.

The introduced method is used in a study and extracted results from it are analyzed from different points of view. In this article Initiatives is called strategic plans.

Keywords: Balanced Scorecard, Initiatives, MODM, Goal Programming

Conceptual Design of Long Endurance UAV using Kriging Approximation and Multi-Objective Genetic Algorithm

by Ranjan Ganguli

Developing a closing rule curve for valves in pipelines to control the water hammer impacts: Application of the NSGA-II optimization model

by Mohammad Reza Bazargan-Lari

Afshar, H., R. Kerachian, M. R. Bazargan-Lari and A. R. Niktash, “Developing a Closing Rule Curve for Valves in Pipelines to Control the Water Hammer Impacts: Application of the NSGA-II Optimization Model”, Proceedings of Pipelines 2008, ASCE, July 22-27, Atlanta, Georgia, USA, 2008.

Water hammer is known as a phenomenon that has adverse effects on pipelines. Closing rate of valves plays an important... more Water hammer is known as a phenomenon that has adverse effects on pipelines. Closing rate of valves plays an important role in controlling this phenomenon. In the water hammer process, the water pressure rise and water discharge are inversely correlated. Therefore, a tradeoff curve (Pareto front) between water pressure rise and water discharge can be developed. Developing these Pareto front using traditional multiple-objective optimization models is always time consuming. Therefore, in recent years, several multiple-objective evolutionary optimization models have been proposed which can provide the Pareto-front with an acceptable computational time. In this paper, the Non-dominated Sorting Genetic Algorithms II (NSGA II) is used for developing the Pareto front. To predict the pressure rise and pipe discharge for a valve closing scenario, a simulation model is also developed using the Characteristic Method. The simulation model is then linked to the NSGA II optimization model. After developing the trade-off curve between the water pressure rise and the discharge, a valve operating rule is developed for each non-inferior point on the trade-off curve. The results show that the proposed methodology can be effectively used for reducing the adverse effects of the water hammer in pipelines.

A conflict-resolution model for the conjunctive use of surface and groundwater resources that considers water-quality issues: A case study

by Mohammad Reza Bazargan-Lari

Bazargan-Lari, M.R., R. Kerachian and A. Mansoori, "A Conflict Resolution Model for Conjunctive Use of Surface and Groundwater Resources considering the Water Quality Issues: A Case Study", Environmental Management, Springer, DOI: 10.1007/s00267-008-9191-6, Vol. 43, No. 3, 470-482, 2009.

The conjunctive use of surface and groundwater resources is one alternative for optimal use of available water... more The conjunctive use of surface and groundwater resources is one alternative for optimal use of available water resources in arid and semiarid regions. The optimization models proposed for conjunctive water allocation are often complicated, nonlinear, and computationally intensive, especially when different stakeholders are involved that have conflicting interests. In this article, a new conflict-resolution methodology developed for the conjunctive use of surface and groundwater resources using Nondominated Sorting Genetic Algorithm II (NSGA-II) and Young Conflict-Resolution Theory (YCRT) is presented. The proposed model is applied to the Tehran aquifer in the Tehran metropolitan area of Iran. Stakeholders in the study area have conflicting interests related to water supply with acceptable quality, pumping costs, groundwater quality, and groundwater table fluctuations. In the proposed methodology, MODFLOW and MT3D groundwater quantity and quality simulation models are linked with the NSGA-II optimization model to develop Pareto fronts among the objectives. The best solutions on the Pareto fronts are then selected using YCRT. The results of the proposed model show the significance of applying an integrated conflict-resolution approach to conjunctive use of surface and groundwater resources in the study area.

Multi-objective optimization for PID controller Tuning using the global ranking genetic algorithm

by Hairi Zamzuri

Int Journal of Innovative Computing, Information and Control (IJICIC), accepted 2011 (IF 2.9)