OPTIMIZATION OF NONLINEAR CONSTRAINED PARTICLE SWARM
نویسندگان
چکیده
منابع مشابه
Solving Constrained Nonlinear Optimization Problems with Particle Swarm Optimization
This paper presents a Particle Swarm Optimization (PSO) algorithm for constrained nonlinear optimization problems. In PSO, the potential solutions, called particles, are "flown" through the problem space by learning from the current optimal particle and its own memory. In this paper, preserving feasibility strategy is employed to deal with constraints. PSO is started with a group of feasible so...
متن کاملConstrained Particle Swarm Optimization
In this Chapter, we present a new face detection and tracking algorithm using Bayesconstrained particle swarm optimization (BC-PSO), which is a population based searching algorithm. A cascade of boosted classifiers based on Haar-like features is trained and employed for object detection. Then the PSO-based algorithm is applied for object tracking. Basically the searching can be divided into two...
متن کاملOpposition-Based Barebones Particle Swarm for Constrained Nonlinear Optimization Problems
This paper presents a modified barebones particle swarm optimization OBPSO to solve constrained nonlinear optimization problems. The proposed approach OBPSO combines barebones particle swarm optimization BPSO and opposition-based learning OBL to improve the quality of solutions. A novel boundary search strategy is used to approach the boundary between the feasible and infeasible search region. ...
متن کاملSolving Security Constrained Unit Commitment by Particle Swarm Optimization
The issue of unit commitment is one of the most important economic plans in power system. In modern and traditional power systems, in addition to being economical of the planning, the issue of security in unit operation is also of great importance. Hence power system operation confronts units’ participation and input considering network security constrains. The issue of units’ participation is ...
متن کاملConstrained Particle Swarm Optimization of Supply Chains
Since supply chains highly impact the financial performance of companies, it is important to optimize and analyze their Key Performance Indicators (KPI). The synergistic combination of Particle Swarm Optimization (PSO) and Monte Carlo simulation is applied to determine the optimal reorder point of warehouses in supply chains. The goal of the optimization is the minimization of the objective fun...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Technological and Economic Development of Economy
سال: 2006
ISSN: 2029-4913,2029-4921
DOI: 10.3846/13928619.2006.9637719