Ant Colony Optimization Techniques and Applications
Ant Colony Optimization (ACO) is the best example of how studies aimed at understanding and modeling the behavior of ants and other social insects can provide inspiration for the development of computational algorithms for the solution of difficult mathematical problems. Introduced by Marco Dorigo i...
में बचाया:
| अन्य लेखक: | |
|---|---|
| स्वरूप: | इलेक्ट्रोनिक पुस्तक अध्याय |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
IntechOpen
2013
|
| विषय: | |
| ऑनलाइन पहुंच: | DOAB: download the publication DOAB: description of the publication |
| टैग: |
टैग जोड़ें
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
|
| सारांश: | Ant Colony Optimization (ACO) is the best example of how studies aimed at understanding and modeling the behavior of ants and other social insects can provide inspiration for the development of computational algorithms for the solution of difficult mathematical problems. Introduced by Marco Dorigo in his PhD thesis (1992) and initially applied to the travelling salesman problem, the ACO field has experienced a tremendous growth, standing today as an important nature-inspired stochastic metaheuristic for hard optimization problems. This book presents state-of-the-art ACO methods and is divided into two parts: (I) Techniques, which includes parallel implementations, and (II) Applications, where recent contributions of ACO to diverse fields, such as traffic congestion and control, structural optimization, manufacturing, and genomics are presented. |
|---|---|
| भौतिक वर्णन: | 1 electronic resource (214 p.) |
| आईएसबीएन: | 3423 9789535110019 9789535157175 |
| अभिगमन: | Open Access |