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"This book focuses on the different steps involved in the conception, implementation and application of EDAs that use Markov networks, and undirected models in general. It can serve as a general introduction to EDAs but covers also an important current void in the study of these algorithms by explaining the specificities and benefits of modeling optimization problems by means of undirected probabilistic models.All major developments to date in the progressive introduction of Markov networks based EDAs are reviewed in the book. Hot current research trends and future perspectives in the enhancement and applicability of EDAs are also covered. The contributions included in the book address topics as relevant as the application of probabilistic-based fitness models, the use of belief propagation algorithms in EDAs and the application of Markov network based EDAs to real-world optimization problems. "

"Industrial applications of evolutionary algorithms is intended as a resource for both experienced users of evolutionary algorithms and researchers that are beginning to approach these fascinating optimization techniques.Experienced users will find interesting details of real-world problems, advice on solving issues related to fitness computation or modeling, and suggestions on how to set the appropriate parameters to reach optimal solutions.Beginners will find a thorough introduction to evolutionary computation, and a complete presentation of several classes of evolutionary algorithms exploited to solve different problems. Inside, scholars will find useful examples on how to fill the gap between purely theoretical examples and industrial problems.Chapters are grouped by three themes of particular interest for real-world applications, namely prototype-based validation, reliability and test generation.The authors hope that this volume will help to expose the flexibility and efficiency of evolutionary techniques, encouraging more companies to adopt them; and that, most of all, you will enjoy your reading."

"The volume LNCS 7269 constitutes the refereed proceedings of the International Symposium on Swarm Intelligence and Differential Evolution, SIDE 2012, held in Zakopane, Poland, in April/May 2012 in conjunction with the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012 (proceedings published as two-volume set LNAI 7267 and 7268). The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The volume is divided into two topical parts: proceedings of the 2012 symposium on swarm intelligence and differential evolution and on evolutionary algorithms and their applications."

"Penelitian ini merupakan sebuah usaha untuk menunjukkan adanya proses ko-evolusi di antara perusahaan-perusahaan dalam industri tekstil dan pakaian di Indonesia, dengan pemerintah sebagai perwakilan dari lembaga lokal. Hasil dari riset menunjukkan bahwa seiringnya waktu, perubahan dalam lembaga lokal telah terjadi dalam industri yang di jelaskan oleh beberapa faktor regulasi dan juga kondisi perekonomian negara yang turut berkontribusi dalam kecepatan proses ko-evolusi tersebut. Sebuah fokus dari beberapa kasus seperti: penerapan kebijakan; krisis moneter di Indonesia, dan perkembangan teknologi telah disediakan sebagai pendukung argumen. Penelitian ini juga menunjukkan bahwa proses ko-evolusi melalui adaptasi bersama diantara pelaku dapat mempercepat dan telah berkontribusi dalam perkembangan ekonomi negara secara keseluruhan.

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This research is an exploratory attempt to show the co-evolutionary relationship between Indonesian firms in the textile and garment industry, and the local government as a representative of local institutions. The result shows that institutional changes occurred within the industry were driven by several regulated factors and the country's economic condition affected the speed of co-evolution. A focus on cases such as: various policy implementations, Indonesian monetary crisis, and technological development are provided for further support. This research shows that co-evolutionary process by mutual adaptation between the actors enables faster and overall economic growth of the country in general."