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A comprehensive research monograph exploring bio-inspired computational methods for solving combinatorial optimization problems. The book analyzes algorithms such as evolutionary algorithms, ant colony optimization and other nature-inspired heuristics, investigates their computational complexity, and provides theoretical insights along with practical algorithmic frameworks — aimed at researchers and advanced students in computer science and optimization.

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245: $a: Bioinspired Computation in Combinatorial Optimization: Algorithms and Their Computational Complexity
245: $b:
082: $a:
100: $a: Frank Neumann & Carsten Witt
650: $a: Algorithms
250: $a:
440: $v:
250: $b: Springer (Springer‑Verlag Berlin Heidelberg)
250: $c: 2010
020: $a: 978-3-642-16543-6
300: $a: 278