Pattern creating with nano-particle is one of the best application methods in nano-scale that it will be used for new pattern creating and make micro/nano-electromechanical System (MEMS/NEMS) in future. Particle swarm optimization algorithm is one of evolutionary computation techniques and the optimization method based on population and ant algorithm, optimization algorithm is modeled based on ...

The Artificial Bee Colony is a swarm based meta-heuristic algorithm for optimizing numerical based problem and provides the solution with accuracy and less effort, cost, time and space. Here the word meta heuristic means to provide a better solution to the given problem especially in the case of incomplete or imperfect information. In ABC algorithm, bees search best food source from many food s...

This paper assumes each user has more than one queue, derives a new packet-dependant proportional fairness power allocation pattern based on the sum of weight capacity and the packet’s priority in users’ queues, and proposes 4 new cross-layer packet-dependant OFDM scheduling schemes based on proportional fairness for heterogeneous classes of traffic. Scenario 1, scenario 2 and scenario 3 lead r...

In this study, we investigate the communication in particle swarm optimization (PSO) by the means of network visualization. We measure the communication density of PSO optimizing four different benchmark functions. It is presented that the communication density varies over different fitness landscapes and in different phases of the optimizing process. We analyze the results in terms of use for ...

This article develops an integrated JIT lot-splitting model for a single supplier and a single buyer. In this model we consider reduction of setup time, and the optimal lot size are obtained due to reduced setup time in the context of joint optimization for both buyer and supplier, under deterministic condition with a single product. Two cases are discussed: Single Delivery (SD) case, and Multi...

Abstract In order to improve the existing problems of artificial fish swarm algorithm, algorithm is improved by using characteristics RNA computing, and RNA-artificial proposed. Since cold-chain food has perishable quality can generate a large number carbon emissions during its transportation, this paper establishes model for optimizing cold chain low logistics location in Beijing-Tianjin-Hebei...

Power system voltage security is improved by optimizing reactive power dispatch (ORPD). ORPD problem is a multi-constrained, multi-objective problem involving both continuous and discrete control variables. An efficient optimization technique is needed for handling such a challenging objective function. Generator bus voltages, transformer tap positions and shunt Var compensator settings are the...

A number of algorithms based on the evolutionary processing have been proposed forcommunication networks backbone such as Genetic Algorithm (GA). However, there has beenlittle work on the SWARM optimization algorithms such as Particle Swarm Optimization(PSO) for backbone topology design. In this paper, the performance of PSO on GA isdiscussed and a new algorithm as PSOGA is proposed for the net...

Voltage stability issues are growing challenges in many modern power systems. This paper proposes optimizing the size and location of Static VAR Compensator (SVC) devices using a Fuzzy Weighted Seeker Optimization Algorithm (FWSOA), as an effective solution to overcome such issues. Although the primary purpose of SVC is bus voltage regulation, it can also be useful for voltage stability enhance...