Bee Swarm Optimization Algorithm with Chaotic Sequence and Psychology Model of Emotion
| Autor: | Li-ren Huang, 黃禮仁 |
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| Rok vydání: | 2009 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 97 Swarm intelligence is one of the most popular derivative-free and population-based optimization algorithm. It has been extensively used for both continuous and discrete optimization problems due to its versatile optimization capabilities. Swarm intelligence is a research limb that models the population of interacting agents or swarms that are able to self-organize. An ant colony, a flock of birds or an immune system is a typical example of a swarm system. Bees’ swarming around their hive is another example of swarm intelligence. Artificial Bee Colony algorithm is an optimization algorithm based on the intelligent behavior of honey bee swarm. This thesis presents Bee Swarm Optimization intended to introduce chaotic sequences and psychology factor of emotion into the algorithm. We define two emotions Bees could have, positive and negative, and correspond to two reaction to perception respectively. For avoiding premature convergence it allows the proposed Emotional Chaotic Bee Swarm Optimization to continue search for better even best optimization in classic optimization problems, reaching better solutions than classic Artificial Bee Colony algorithm with a faster convergence speed. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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