This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniques are incorporated, which also reduces the computational complexity and improved the convergence and efficiency. Numerous examples and real world problems are used for illustration, which may also allow the reader to gain further insight into the associated concepts.
€96.29
قائمة المحتويات
Introduction to Optimization.- Probability Collectives: A Distributed Optimization Approach.- Constrained Probability Collectives: A Heuristic Approach.- Constrained Probability Collectives with a Penalty Function Approach.- Constrained Probability Collectives With Feasibility-Based Rule I.- Probability Collectives for Discrete and Mixed Variable Problems.- Probability Collectives with Feasibility-Based Rule II.
لغة الإنجليزية ● شكل PDF ● صفحات 157 ● ISBN 9783319160009 ● حجم الملف 6.6 MB ● الناشر Springer International Publishing ● مدينة Cham ● بلد CH ● نشرت 2015 ● للتحميل 24 الشهور ● دقة EUR ● هوية شخصية 5234245 ● حماية النسخ DRM الاجتماعية
المزيد من الكتب الإلكترونية من نفس المؤلف (المؤلفين) / محرر
4٬876 كتب إلكترونية في هذه الفئة
