| Judul | Swarm Intelligence and Evolutionary Algorithms for Real World Applications (2nd Edition) / Mohammad Majid al-Rifaie |
| Pengarang | Mohammad Majid al-Rifaie |
| EDISI | 2nd |
| Penerbitan | 4052 Basel, Switzerland : MDPI, 2026 |
| Deskripsi Fisik | 182 :ill |
| ISBN | 978-3-7258-9148-1 |
| Subjek | Computer Science & Mathematics; Business & Economics; Engineering; Swarm intelligence |
| Catatan | "Summary This Special Issue brings together emerging research on swarm intelligence (SI) and evolutionary computation (EC), with a particular focus on their growing role in addressing complex search, learning, and optimisation problems that challenge conventional computational approaches. Inspired by adaptation, cooperation, competition, and self-organisation in natural and social systems, SI and EC provide flexible and robust paradigms for navigating large, dynamic, uncertain, and poorly structured problem spaces. Their relevance is especially evident in real-world settings characterised by noisy environments, incomplete information, high dimensionality, and conflicting objectives, where traditional methods may struggle to deliver effective and scalable solutions. This Reprint contains contributions that advance the theory, methodology, and application of SI and EC. Of particular interest are novel computational frameworks, analyses of emergent and collective behaviour, hybrid and adaptive approaches, and a |
| Bentuk Karya | Tidak ada kode yang sesuai |
| Target Pembaca | Tidak ada kode yang sesuai |
| Lokasi Akses Online |
https://www.mdpi.com/books/reprint/13534-swarm-intelligence-and-evolutionary-algorithms-for-real-world-applications-2nd-edition |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 449926192 | 006.38 Moh s | Baca Online | Perpustakaan Pusat - Online Resources Ebook |
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| 505 | # | # | $a "Summary This Special Issue brings together emerging research on swarm intelligence (SI) and evolutionary computation (EC), with a particular focus on their growing role in addressing complex search, learning, and optimisation problems that challenge conventional computational approaches. Inspired by adaptation, cooperation, competition, and self-organisation in natural and social systems, SI and EC provide flexible and robust paradigms for navigating large, dynamic, uncertain, and poorly structured problem spaces. Their relevance is especially evident in real-world settings characterised by noisy environments, incomplete information, high dimensionality, and conflicting objectives, where traditional methods may struggle to deliver effective and scalable solutions. This Reprint contains contributions that advance the theory, methodology, and application of SI and EC. Of particular interest are novel computational frameworks, analyses of emergent and collective behaviour, hybrid and adaptive approaches, and applications addressing contemporary challenges in artificial intelligence, engineering, data science, and other disciplines. Beyond algorithmic performance, the Reprint examines how principles of swarm systems and evolutionary adaptation inform the development of more resilient and efficient computational systems. It provides the means for PhD students, early-career researchers, and established scholars to explore ideas, critically assess recent developments, and investigate new directions for addressing real-world applications in complex environments." |
| 650 | # | # | $a Computer Science & Mathematics; Business & Economics; Engineering; Swarm intelligence |
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