Intelligent decision making through bio-inspired optimization
Academic scholars, entrenched in the complexities of various domains, face the daunting task of navigating intricate decision-making scenarios. The prevailing need for efficient and effective decision-making tools becomes increasingly apparent as traditional methodologies struggle to keep pace with...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Hershey PA, USA
IGI Global
[2024]
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| Schriftenreihe: | Advances in computational intelligence and robotics (ACIR) book series
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| Online-Zugang: | DE-91 DE-898 DE-1050 URL des Erstveröffentlichers |
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| 245 | 1 | 0 | |a Intelligent decision making through bio-inspired optimization |c Ramkumar Jaganathan, Shilpa Mehta, Ram Krishan |
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| 520 | |a Academic scholars, entrenched in the complexities of various domains, face the daunting task of navigating intricate decision-making scenarios. The prevailing need for efficient and effective decision-making tools becomes increasingly apparent as traditional methodologies struggle to keep pace with the demands of modern research and industry. This pivotal issue necessitates a shift, urging scholars to explore unconventional approaches that can transcend disciplinary boundaries and unlock new dimensions of problem-solving.In response to these pressing challenges, Intelligent Decision Making Through Bio-Inspired Optimization emerges as a beacon of ingenuity. This groundbreaking book transcends usual disciplinary boundaries, seamlessly integrating computer science, artificial intelligence, optimization, and decision science. Its multidisciplinary approach addresses the inherent complexities faced by scholars, offering a comprehensive exploration of nature-inspired algorithms such as genetic algorithms, swarm intelligence, and evolutionary strategies. The book's core mission is to empower academic scholars with the tools to overcome contemporary decision-making hurdles, providing a holistic understanding of these bio-inspired approaches and their potential to revolutionize the scholarly landscape. | ||
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| discipline | Mathematik |
| doi_str_mv | 10.4018/979-8-3693-2073-0 |
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| id | DE-604.BV049735920 |
| illustrated | Illustrated |
| indexdate | 2025-01-03T08:41:04Z |
| institution | BVB |
| isbn | 9798369320747 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035078029 |
| oclc_num | 1443580233 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-1050 |
| owner_facet | DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-1050 |
| physical | 1 Online-Ressource (xvi, 275 Seiten) Illustrationen |
| psigel | ZDB-98-IGB ZDB-98-IGB TUM_Paketkauf_2024 ZDB-98-IGB FHR_PDA_IGB |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | IGI Global |
| record_format | marc |
| series2 | Advances in computational intelligence and robotics (ACIR) book series |
| spellingShingle | Intelligent decision making through bio-inspired optimization Algorithms Artificial intelligence Decision making Mathematical optimization |
| title | Intelligent decision making through bio-inspired optimization |
| title_auth | Intelligent decision making through bio-inspired optimization |
| title_exact_search | Intelligent decision making through bio-inspired optimization |
| title_full | Intelligent decision making through bio-inspired optimization Ramkumar Jaganathan, Shilpa Mehta, Ram Krishan |
| title_fullStr | Intelligent decision making through bio-inspired optimization Ramkumar Jaganathan, Shilpa Mehta, Ram Krishan |
| title_full_unstemmed | Intelligent decision making through bio-inspired optimization Ramkumar Jaganathan, Shilpa Mehta, Ram Krishan |
| title_short | Intelligent decision making through bio-inspired optimization |
| title_sort | intelligent decision making through bio inspired optimization |
| topic | Algorithms Artificial intelligence Decision making Mathematical optimization |
| topic_facet | Algorithms Artificial intelligence Decision making Mathematical optimization |
| url | https://doi.org/10.4018/979-8-3693-2073-0 |
| work_keys_str_mv | AT jaganathanramkumar intelligentdecisionmakingthroughbioinspiredoptimization AT mehtashilpa intelligentdecisionmakingthroughbioinspiredoptimization AT krishanram intelligentdecisionmakingthroughbioinspiredoptimization |