In design and fabricate drive shafts with high value of fundamental natural frequency that represented high value of critical speed; using composite materials instead of typical metallic materials could provide longer length shafts with lighter weight. In this paper, multi-objective optimization (MOP) of a composite drive shaft is performed considering three conflicting objectives: fundamental ...

Location and types of sensors may be integrated for simultaneous achievement of water security goals and other water utility objectives, such as regulatory monitoring requirements. Complying with the recent recommendations on dual benefits of sensors, this study addresses the optimal location of these types of sensors in a multipurpose approach. The study presents two mathematical models for ...

Optimal Reactive Power Dispatch (ORPD) is a multi-variable problem with nonlinear constraints and continuous/discrete decision variables. Due to the stochastic behavior of loads, the ORPD requires a probabilistic mathematical model. In this paper, Monte Carlo Simulation (MCS) is used for modeling of load uncertainties in the ORPD problem. The problem is formulated as a nonlinear constrained mul...

in this study, under the constraint of resource-saving and environment-friendliness objective, based on multi-agent genetic algorithm, multi-objective spatial optimization (moso) model for land use allocation was developed from the view of simulating the biological autonomous adaptability to environment and the competitive-cooperative relationship. the model was applied to solve the practical m...

Dynamic Multi-Objective TSP (DMO-TSP) proposed as a theoretical model of mobile communication network in 2004 is an NP-hard problem. The problem dynamically changes the characteristics of its objectives, the conflict degrees between its objectives and the number of its cities. In fact, a Dynamic Multi-Objective TSP is not a single optimization problem, but a diverse set of optimization problems...

The most important aim of every project is on time completion, budget consideration and reaching the highest possible quality, based on contract. This paper suggests a methodology for risk management in engineering, procurement, and construction (EPC) projects. Risk management enables project teams to perform with minimum deviation from predetermined goals. The proposed methodology identifies a...