We analyze combinatorial optimization problems with ordinal, i.e., non-additive, objective functions that assign categories (like good, medium and bad) rather than cost coefficients to the elements of feasible solutions. review different optimality concepts for ordinal discuss their similarities differences. then focus on two prevalent are shown be equivalent. Our main lies investigation a bije...

The design change propagation in a complex product is characteristic of nonlinear, dynamic, and uncertain; its impact analysis becomes challenging. Furthermore, the multiple changes occurring concurrently during the whole design process increase the difficulty of the change propagation analysis. In this article, a new change propagation prediction method based on multi-agent system, especially ...

in this study, the application of gray relational analysis (gra) and taguchi method in multi-criteria process parameters selection of turning operation has been investigated. the process responses under study are material removal rate (mrr) and surface roughness (sr); in turn, the input parameters include cutting speed, feed rate, depth of cut and nose radius of the cutting tool. the proposed a...

the national bridge stock of iran consists of about 330,000 bridges, of which around 50% are older than 30 years. since 2010, iran road maintenance & transportation organization has started implementing a comprehensive bridge management system in order to manage this aged stock efficiently. to predict future conditions of bridge stock, a heuristic numerical method is presented. this methodology...

In real life, there are a lot of Multi-objective Optimization Problem, which is shorted for MOP in the process of people working in production and economic and engineering activities. These problems are often very complex and nonlinear, and even conflicted with each other. When solving these problems, Multi-objective Optimization, shorted for MOO should be done on these issues. For example, for...

ABSTRACT This paper proposes a new Multi-Objective Equilibrium Optimizer (MOEO) to handle complex optimization problems, including real-world engineering design problems. The (EO) is recently reported physics-based metaheuristic algorithm, and it has been inspired by the models used predict equilibrium state dynamic state. A similar procedure utilized in MOEO combining different target search s...

The design of closed-loop logistics (forward and reverse logistics) has attracted growing attention with the stringent pressures of customer expectations, environmental concerns and economic factors. This paper considers a multi-product, multi-period and multi-objective closed-loop logistics network model with regard to facility expansion as a facility location–allocation problem, which more cl...

estimation of parameters of a hydrologic model is undertaken using a procedure called “calibration” in order to obtain predictions as close as possible to observed values. this study aimed to use the particle swarm optimization (pso) algorithm for automatic calibration of the hec-hms hydrologic model, which includes a library of different event-based models for simulating the rainfall-runoff pr...

This work addresses the optimization of ammonia–water absorption cycles for cooling and refrigeration applications with economic and environmental concerns. Our approach combines the capabilities of process simulation, multi-objective optimization (MOO), cost analysis and life cycle assessment (LCA). The optimization task is posed in mathematical terms as a multi-objective mixed-integer nonline...