|
Title: |
Systems Engineering Using Particle Swarm Optimization |
Search Result:
| Edited by: |
Nadia Nedjah, Luiza Macedo Mourelle |
| ISBN10-13: |
1600211194 : 9781600211195 |
| Illustrations: |
tables & charts |
| Format: |
Hardback |
| Size: |
180x260mm |
| Pages: |
133 |
| Weight: |
.510 Kg. |
| Published: |
Nova Science Publishers, Inc (US) - April 2007 |
| List Price: |
172.99 Pounds Sterling |
| Availability: |
Temporarily Out of Stock, more expected soon
|
| Subjects: |
Mathematics & science : Technology, engineering, agriculture |
| Swarm intelligence is an innovative computational way to solve hard problems. This discipline is inspired by the behaviour of social insect (e.g. ants, termites, bees and wasps) colonies as well as fish schools and bird flocks. The content of this book is divided into two main parts: ant colony optimisation and particle swarm optimisation. The former describes systems that have been engineered using ant colony optimisation and the latter presents systems that were designed based on particle swarm optimisation. |
| Table of Contents: |
| An Ant Colony Optimisation Meta-Heuristic for Subset Selection Problems; Ant Colony System for the Beam Angle Optimisation Problem in Radiotherapy Planning; Ant Colony Optimisation for Fast Exponentiations Using Optimal Addition-Subtraction Chains; Comparative Investigation of PSO vs. GA for Dynamically Reconfigurable Sensor Electronics; Piecewise Reference-driven Takagi-Sugeno Fuzzy Modelling based on Particle Swarm Optimisation; Diffusion Controlled Cellular Automaton Performing Mesh Partitioning with Dynamic Inserting of Domains; Index. |
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