نتایج جستجو برای: بهینهسازی انبوه ذرات pso

تعداد نتایج: 29763  

2012
LIU Wen

In order to effectively solve combinatorial optimization problems, the Estimation of Distribution Algorithm (EDA) and Particle Swarm Optimization (PSO) combine to form a new ED-PSO hybrid algorithm, the algorithm can effectively apply global statistical information and global optimal solution to the solution space search. This algorithm is used to solve the Multidimensional Knapsack Problem (MK...

2008
Xin Chen Yangmin Li

This paper proposes an improved particle swarm optimization named PSO with Controllable Random Exploration Velocity (PSO-CREV) behaving an additional exploration behavior. Different from other improvements on PSO, the updating principle of PSO-CREV is constructed in terms of stochastic approximation diagram. Hence a stochastic velocity independent on cognitive and social components of PSO can b...

Journal: :journal of computer and robotics 0
mojtaba gholamian faculty of computer and information technology engineering, qazvin branch, islamic azad university, qazvin, iran mohammad reza meybodi department of computer engineering and information technology, amirkabir university of technology, tehran, iran

so far various methods for optimization presented and one of most popular of them are optimization algorithms based on swarm intelligence and also one of most successful of them is particle swarm optimization (pso). prior some efforts by applying fuzzy logic for improving defects of pso such as trapping in local optimums and early convergence has been done. moreover to overcome the problem of i...

2010
Jiaquan Gao Hao Li Luoke Hu

The paper presents a novel particle swarm optimizer (PSO), called gender-hierarchy particle swarm optimizer based on punishment (GH-PSO). In the proposed algorithm, the social part and recognition part of PSO both are modified in order to accelerate the convergence and improve the accuracy of the optimal solution. Especially, a novel recognition approach, called general recognition, is presente...

2015
Wei Hong Lim Nor Ashidi Mat Isa

In this paper, a new variant of particle swarm optimisation (PSO) called PSO with improved learning strategy (PSO-ILS) is developed. Specifically, an ILS module is proposed to generate a more effective and efficient exemplar, which could offer a more promising search direction to the PSO-ILS particle. Comparison is made on the PSO-ILS with 6 well-established PSO variants on 10 benchmark functio...

2011
K. DEEBA

Particle Swarm Optimization is currently employed in several optimization and search problems due its ease and ability to find solutions successfully. A variant of PSO, called as Improved PSO has been developed in this paper and is hybridized with the simulated annealing approach to achieve better solutions. The hybrid technique has been employed, inorder to improve the performance of improved ...

Journal: :Applied Mathematics and Computation 2013
Xin Jin Yongquan Liang Dongping Tian Fuzhen Zhuang

Particle swarm optimization (PSO) has undergone many changes since its introduction in 1995. Being a stochastic algorithm, PSO and its randomness present formidable challenge for the theoretical analysis of it, and few of the existing PSO improvements have make an effort to eliminate the random coefficients in the PSO updating formula. This paper analyzes the importance of the randomness in the...

Journal: :Applied Mathematics and Computation 2011
Li-Yeh Chuang Sheng-Wei Tsai Cheng-Hong Yang

Chaotic catfish particle swarm optimization (C-CatfishPSO) is a novel optimization algorithm proposed in this paper. C-CatfishPSO introduces chaotic maps into catfish particle swarm optimization (CatfishPSO), which increase the search capability of CatfishPSO via the chaos approach. Simple CatfishPSO relies on the incorporation of catfish particles into particle swarm optimization (PSO). The in...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی خواجه نصیرالدین طوسی - دانشکده صنایع 1391

امروزه به منظور استفاده بهتر از منابع و تولید محصولات مطابق با نیاز مشتریان و با توجه به سطح رقابت موجود میان شرکت ها به کارگیری یک برنامه زمانبندی مناسب از اهمیت مضاعفی برخوردار شده است. در این پایان نامه، مسئله زمانبندی گروهی جریان کارگاهی دو مرحله ای انعطاف پذیر بدون وقفه با در نظرگرفتن محدودیت زمان های آماده سازی وابسته به توالی گروه ها مورد مطالعه قرار گرفته است. در این مسئله همه قطعات مس...

Journal: :JNW 2014
Rongrong Song Zili Chen

A Maglev system was modeled by the exact feedback linearization to achieve two same linear subsystems. The proportional-integral-differential controllers (PID) based on particle swarm optimization (PSO) algorithm with four different inertia weights were then used to regulate both linear subsystems. These different inertia weights were Fixed Inertia Weight (FIW), Linear Descend Inertia Weight (L...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید