Original price was: $265.00.$24.99Current price is: $24.99.
Access Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms Now. Discount up to 90%
| Full Title | Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms |
|---|---|
| Author(s) | Sujata Dash |
| Edition | |
| ISBN | 9781522528586, 9781522528579, 9781522528593 |
| Publisher | Engineering Science Reference |
| Format | PDF and EPUB |
The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems. The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.
Original price was: $265.00.$24.99Current price is: $24.99.
Access Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms Now. Discount up to 90%
| Full Title | Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms |
|---|---|
| Author(s) | Sujata Dash, B.K. Tripathy, Atta ur Rahman |
| Edition | |
| ISBN | 9781522528593, 9781522528579 |
| Publisher | Engineering Science Reference |
| Format | PDF and EPUB |
The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems. The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.
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