| 000 | 00988 a2200205 4500 | ||
|---|---|---|---|
| 005 | 20250912102537.0 | ||
| 020 | _a9798892774505 | ||
| 082 | _a006.325 HAL | ||
| 100 | _aHaldurai, L | ||
| 245 | _aAnt Colony Optimization: Concepts and Techniques | ||
| 260 |
_bNotion Press _a. _c2024 |
||
| 300 | _a86 | ||
| 520 | _aAnt Colony Optimization (ACO) stands as a remarkable testament to the inspiration that nature can provide for solving complex optimization problems. Derived from the foraging behavior of real ants, ACO has evolved into a powerful metaheuristic algorithm with wide-ranging applications in various domains. "Ant Colony Optimization: Concepts and Techniques" aims to unravel the intricacies of this algorithm, offering a comprehensive exploration of its principles, methodologies, and practical implementations. | ||
| 650 | _aOptimization | ||
| 650 | _aAlgorithm | ||
| 700 | _aSenthil Kumar, N | ||
| 700 | _aRadharani, S | ||
| 700 | _aHemalatha, M | ||
| 942 |
_cBK _2ddc |
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| 999 |
_c51472 _d51472 |
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