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"NICSO 2011 has offered an inspiring environment for debating the state of the art ideas and techniques in nature inspired cooperative strategies and a comprehensive image on recent applications of these ideas and techniques. The topics covered by this volume include swarm intelligence (such as ant and bee colony optimization), genetic algorithms, multiagent systems, coevolution and cooperation strategies, adversarial models, synergic building blocks, complex networks, social impact models, evolutionary design, self organized criticality, evolving systems, cellular automata, hybrid algorithms, and membrane computing (P-systems)."

"This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and complexity are a major area of concern when it comes to practical applications. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications."

"Sistem manufaktur telah mengalami kemajuan menuju personalisasi massal dalam konteks Industri 4.0, yang memiliki implikasi besar terhadap efisiensi produksi dan kepuasan konsumen. Tujuan dari penelitian ini adalah untuk menentukan metaheuristik mana yang paling berhasil untuk mengatasi masalah penjadwalan job shop umum antara Genetic Algorithm (GA), Particle Swarm Optimization (PSO), dan Ant Colony Optimization (ACO). Masalah-masalah ini dikenal sebagai NP-hard, yang menuntut penggunaan pendekatan metaheuristik. Penelitian ini menilai kinerja setiap metaheuristik pada kumpulan data kecil, menengah, dan besar, dengan fokus pada indikator utama makespan. Hasilnya menunjukkan bahwa GA secara konsisten menawarkan solusi yang mendekati optimal, mengungguli PSO dan ACO. PSO menunjukkan potensi dalam kumpulan data yang lebih besar namun kurang konsisten, sedangkan ACO adalah yang paling tidak berhasil, sering kali menghasilkan nilai makespan yang lebih tinggi. Kesimpulannya, GA direkomendasikan untuk aplikasi masalah penjadwalan job shop karena keandalan dan efektivitasnya.

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Manufacturing systems have progressed toward mass personalization in the context of Industry 4.0, with substantial implications for production efficiency and consumer satisfaction. The goal of this study is to determine which metaheuristic is most successful for addressing general Job Shop Scheduling Problems (JSSP) among Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Ant Colony Optimization (ACO). These issues are known to be NP-hard, demanding the use of metaheuristic approaches. The research assesses the performance of each metaheuristic on small, medium, and big datasets, with a focus on the key indicator of makespan. The results show that GA consistently offers near-optimal solutions, outperforming PSO and ACO. PSO demonstrated potential in larger datasets but lacked consistency, whereas ACO was the least successful, frequently producing higher makespan values. Consequently, GA is recommended for actual JSSP applications because of its dependability and effectiveness."

"This book is the closing report of the national priority program Nature-Inspired Fluid Mechanics (Schwerpunktprogramm SPP 1207: Strömungsbeeinflussung in der Natur und Technik). Nature-inspired fluid mechanics is one subset of biomimetics, a discipline which has received increased attention over the last decade, with numerous faculties and degree courses devoted solely to exploring ânature as a modelâ for engineering applications. To save locomotion energy, evolution has optimized the design of animals such that friction loss is minimized. In addition to many morphological adaptations, animals that are often exposed to water or air currents have developed special behaviors that allow them to use the energy contained in air or water fluctuations for energy savings. Such flow manipulation and control is not only important for many animals, but also for many engineering applications. Since living beings have been optimized by several million years of evolution it is very likely that many engineering disciplines can profit from the study of systems found in nature. "

"This book provides readers with a timely guide to the application of biomimetic principles in architecture and engineering design, and describes various aspects of motion in living systems. Geometric, mechanical and rhythmic parameters are listed and illustrated using examples from flora and fauna, and contextualized within an integrated mapping of biomechanical combinations that have proved their success in the course of evolution. For designers, the schemes identify those aspects that have a high probability of being efficiently combined, paving the way for new solutions and offering a method of evolutionary problem solving. The book guides readers through the field of nature-inspired design, offering an extraordinary resource for professional architects, engineers and designers, as well as for researchers and students. Throughout the book, natural evolution is approached as a powerful resource that can enrich architecture and design by providing innovative, optimal and sustainable solutions. "

"The 15th issue of the Transactions on Computational Science journal, edited by Cong-Vinh Phan, contains six invited papers on autonomic computing, with a special focus on formal engineering methods for nature-inspired computing systems. The papers give an in-depth overview of the area and a comprehensive evaluation of various methodologies for autonomic computing."

"In short, this handbook provides professional services firms and their clients alike with a sound foundation for responding strategically to fundamental global changes and turning them into business advantages. It offers a comprehensive perspective of why and how to successfully globalize a professional services firm."

"This textbook presents a study of subgame consistent economic optimization, developing game-theoretic optimization techniques to establish the foundation for an effective policy menu to tackle the suboptimal behavior that the conventional market mechanism fails to resolve."