in this paper, we have outlined the surrogate management framework for optimization of expensive functions. an initial simple iterative method which we call the “strawman” method illustrates how surrogates can be incorporated into optimization to stand in for the most expensive function. these ideas are made rigorous by incorporating them into the framework of pattern search methods. the smf al...

various synthesis methods have been proposed in the literature for reversible and quantum logic circuits. however, there are few algorithms to optimize an existing circuit with multiple constraints simultaneously. in this paper, some heuristics in genetic algorithms (ga) to optimize a given circuit in terms of quantum cost, number of gates, location of garbage outputs, and delay, are proposed. ...

in this paper, we proposed an algorithm for solving the problem of task scheduling using particle swarm optimization algorithm, with changes in the selection and removing the guide and also using the technique to get away from the bad, to move away from local extreme and diversity. scheduling algorithms play an important role in grid computing, parallel tasks scheduling and sending them to appr...

an evolutionary structural optimization (eso) method is used for plastic design of frames. based on safe theorems some criteria are derived and made an effort to satisfy them during the optimization process. in this regard, equilibrium is checked and yield condition is gradually satisfied during the optimization process. in this method, the amount of used material and the stiffness for each ele...

global optimization methods play an important role to solve many real-world problems. flower pollination algorithm (fp) is a new nature-inspired algorithm, based on the characteristics of flowering plants. in this paper, a new hybrid optimization method called hybrid flower pollination algorithm (fppso) is proposed. the method combines the standard flower pollination algorithm (fp) with the par...

exergy analysis and response surface methodology (rsm) is applied to reduce the exergy loss and improve energy and exergy efficiency of acetic acid production plant. exergy analysis is run as a thermodynamic tool to assess exergy loss in reactor and towers of acetic acid production process. the process is simulated in aspen plus(v.8.4) simulator and the necessary thermodynamics data for calcula...

In recent years, the vigorous rise in computational intelligence has opened up new research ideas for solving chemical dynamic optimization problems, making application of swarm-intelligence techniques more and widespread. However, potential algorithms with different performances still needs to be further investigated this context. On premise, paper puts forward a universal framework, which tra...

halophilic and halotolerant microorganisms are good candidates for decolorization of azo dyeswhich are routinely used in the dyeing process in textile industries. in this paper, theoptimization of biological decolorization of synthetic dye solutions containing remazol black bby the previously isolated halophilic bacterium halomonas sp. d2 is investigated. in a primaryinvestigation using a one-f...

parametric design optimization of an automotive body crashworthiness improvement is presented. the thicknesses of parts are employed as design variables for optimization whose objective is to increase the maximum deceleration value of the vehicle center of gravity during an impact. using the taguchi method, this study analyzes the optimum conditions for design objectives and the impact factors ...

in this article, multiple-product pvrp with pickup and delivery that is used widely in goods distribution or other service companies, especially by railways, was introduced. a mathematical formulation was provided for this problem. each product had a set of vehicles which could carry the product and pickup and delivery could simultaneously occur. to solve the problem, two meta-heuristic methods...