this paper explores the capabilities of multi-objective particle swarm optimization algorithmin a simulation-optimization model for solving waste load allocation problems. the main goals are totaltreatment costs, violation of the water quality standards and equity. in this research, the water qualitysimulation model is coupled with a multi-objective optimization model, mopso. in order to derive...

superconducting materials are capable of trapping extremely high magnetic fields. this property and meissner effect of superconductors causes a levitation force between bulk superconductors and a permanent magnet (pm). this levitation force has possible industrial applications such as permanent magnet guideways (pmg). because of the high price of permanent magnets, the optimization of pmg desig...

abstract: in this paper, an exergy analysis approach is proposed for optimal design of distillation column by using simulated annealing algorithm. first, the simulation of a distillation column was performed by using the shortcut results and irreversibility in each tray was obtained. the area beneath the exergy loss profile was used as irreversibility index in the whole column. then, first opti...

in this paper, optimization and control of a tubular reactor for thermal bulk post-polymerization of styrene have been investigated. by using the reactor mathematical model, static and dynamic simulations are carried out. based on an objective function including polymer conversion and polydispersity, reactor optimal temperature profile has been obtained. in the absence of model mismatch, desire...

This research investigates cross-layer design in multi-hop wireless networks with random access. Due to the complexity of the problem, we study cross-layer design with a simple slotted ALOHA medium access control (MAC) protocol without considering any network dynamics. Firstly, we study the optimal joint configuration of routing and MAC parameters in slotted ALOHA based wireless networks under ...

Modern and competitive company collects information about company functioning and market demands in integrated information system (IS). At the decision making stage, management more and more use optimization and/or simulation methods, where the role of data from IS is very important. Reliable input data are needed for optimization and simulation, because they provide appropriate base for develo...

The response surface methodology (RSM), which uses a quadratic empirical function as an approximation to the original and allows identification of relationships between independent variables xi dependent ys associated with multiple responses, stands out. main contribution present study is propose innovative procedure for optimization experimental problems considers insertion uncertainties in co...