This paper presents a multi-objective optimal power flow technique using particle swarm optimization. Two conflicting objectives, generation cost, and environmental pollution are minimized simultaneously. A multiobjective particle swarm optimization method is used to solve this highly nonlinear and
Microwave absorber optimal design using multi-objective particle swarm optimization
β Scribed by S. K. Goudos; J. N. Sahalos
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- English
- Weight
- 542 KB
- Volume
- 48
- Category
- Article
- ISSN
- 0895-2477
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract A multiβobjective particle swarm optimization (MOPSO) approach is presented for generating Paretoβoptimal solutions for reservoir operation problems. This method is developed by integrating Pareto dominance principles into particle swarm optimization (PSO) algorithm. In addition, a vari
This paper presents a practical methodology for optimal design of open channels considering the slope-stability aspects and other requirements, and propounds the solution of particle swarm optimization (PSO) for solving nonlinear optimization problems. The proposed methodology handles site-specific
## Abstract Spiral, radial, and other nonrectilinear __kβ__space trajectories are an area of active research in MRI due largely to their typically rapid acquisition times and benign artifact patterns. Trajectory design has commonly proceeded from a description of a simple shape to an investigation