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Evolutionary Computation in Combinatorial Optimization (English, Jin-Kao Hao | Martin Middendorf)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9783642291234 |
| ISBN-10 | 3642291236 |
| Author | Jin-Kao Hao | Martin Middendorf |
Product Description
About the Book
Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distri
ISBN: 9783642291234
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Evolutionary Computation in Combinatorial Optimization
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Springer
Who Should Read This
Students and professionals interested in Springer, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Who is the author of Evolutionary Computation in Combinatorial Optimization?
Evolutionary Computation in Combinatorial Optimization is authored by Jin-Kao Hao | Martin Middendorf.
Who published Evolutionary Computation in Combinatorial Optimization?
Evolutionary Computation in Combinatorial Optimization is published by Springer.
How many pages does Evolutionary Computation in Combinatorial Optimization have?
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At an average reading speed of 250 words per minute, reading Evolutionary Computation in Combinatorial Optimization takes a few hours to a few days depending on reading pace.
What is Evolutionary Computation in Combinatorial Optimization about?
About the Book
Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distri
ISBN: 9783642291234...
Is Evolutionary Computation in Combinatorial Optimization suitable for beginners?
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