PSO(ParticleSwarmOptimization) 최근에 PSO(ParticleSwarmOptimization)라는 새로운 진화연산 기법이 소개되었다. ... PSO 역시 군집 기반 알고리즘으로 병렬처리 특징을 가지며, 군집과 개체는 Swarm과 Particle로 표현된다. ... Swarm-S(t): swarm은 n개 particle의 집합이다. 즉, S(t) = [x1(t),x2(t),…,xn(t)]T. ?
In this paper, a novel path planning algorithm is proposed based on particleswarmoptimization (PSO) ... When the two ships enter a certain distance, the optimal collision avoidance course and speed of the ... simulations, the results show that the ship collision avoidance decision-making scheme can obtain reasonable optimal
The harmony search and particleswarm algorithms were then used to solve this model. ... CONCLUSIONS : The model and algorithms successfully optimized the layout of the pavement and they have
algorithm(PSO), the design optimization model of the aerodynamic shape of blade is established. ... Based on the aerodynamic basic theory of wind turbine blade design and combined with particleswarmoptimization ... This paper has carried out the aerodynamic shape optimization design of wind turbine blade.
Meta heuristics including Genetic Algorithm (GA) and Discrete ParticleSwarmOptimization (DPSO) can ... in selecting the best particle in each step. ... be used to solve these simulation based multi-valued optimization problems.
This study used the particleswarm algorithm (PSO) to determine the model parameters based on the LCF ... It is shown that the model with parameter values selected from the PSO accurately simulates the measured
swarmoptimization(PSO). ... We have pursued these two strategies at the same time using composite search technology with particle ... In this study, using PSO, we have tracked down a search space composed of Sr-Al-Si-O-N and have discovered
Design variables of dipole FSS were determined using PSO(ParticleSwarmOptimization) to obtain the transmission ... FSS는 단위요소의 종류, 설계변수, 배열에 따라 전파특성이 다르게 나타나므로, PSO 알고리즘을 이용하여 다이폴이 목표주파수에서 투과특성을 갖도록 설계하고 그 설계치수를 다른 N-pole
The optimal amount of chitosan has been determined considering the separation of the Fe-Mn particles ... Pseudo second order (PSO) kinetic model showed higher correlation of determination (R2), suggesting chemisorption ... organic polymer, were used during preparation of Fe-Mn as a stabilizer to protect an aggregation of Fe-Mn particles
ParticleSwarmOptimization (PSO) which has been well known to solve continuous problems can be applied ... Several DPSO (Discrete ParticleSwarmOptimization) algorithms have been proposed to solve discrete problems
Meta heuristics including Genetic Algorithm and ParticleSwarmOptimization have been effectively used ... From the experimental results, it is shown that Discrete ParticleSwarmOptimization (DPSO) provides ... to solve these multi-valued optimization problems.
To propose more efficient algorithm than previous research, we applied a particleswarmoptimization ... Also this algorithm has enough scalability by innate characteristic of PSO. ... algorithm, which is the most promising method in optimization problem recently in this research.
Second, we apply the cyclic topology-based particleswarmoptimization (PSO) to find the optimal design ... This paper is focused on an optimal design of two degree of freedom (2-DOF) dynamic vibration absorber ... In order to achieve this aim, we first show how to define the objective function of optimal design problem
SwarmOptimization (PSO)의 성능을 경로계획 시뮬레이션을 통해 비교하였으며 CFO의 성능을 개선하기 위해 GA의 돌연변이 알고리즘이 적응적으로 적용될 수 있도록 ... 먼저 무인잠수정의 이동시간 및 운동을 고려하여 비용함수를 개발하고 장애물과 조류를 이용하여 수중환경을 구성한 후 CFO, Genetic Algorithm (GA)그리고 Particle ... Force Optimization (CFO)을 이용하여 3차원 환경에서 무인잠수정의 최적경로계획에 대한 연구를 수행하였습니다.
PSO알고리즘의 소개 PSO(ParticleSwarmOptimization) 알고리즘은 인공지능 최적화 기법중 하나로1995년 Kennedy와 Eberhart에 의해 최초 제안 ... 즉, 개체(Particle)는 자신이 과거에 경험한 최적생존상황과 개체가 속한 그룹이 지금까지 경험한 최적생존상황에 기초하여 미래의 상황에 대처하는 전략을 인공지능기법으로 모의한 것이다 ... 따라서 PSO알고리즘과 GUI을 이용하여 문제해결을 시도하였다. 1.
(ACO) and particleswarmoptimization (PSO). ... is a difficult combinatorial optimization problem. ... In this paper, artificial bee colony (ABC) is developed and proposed to obtain the best/optimal group
(particleswarmoptimization). ... algorithm includes an enhanced repair process and a crossover operation which utilizes the idea of the PSO ... Hence, the finding of an efficient optimal solution procedure seems to be difficult.