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Reactive Search integrates sub-symbolic machine learning techniques into search heuristics for solving complex optimization problems. By automatically adjusting the working parameters, a reactive search self-tunes and adapts, effectively learning by doing until a solution is found. Intelligent Optimization, a superset of Reactive Search, concerns online and off-line schemes based on the use of memory, adaptation, incremental development of models, experimental algorithms applied to optimization, intelligent tuning and design of heuristics.

Power Electronics in Smart Electrical Energy Networks introduces a new viewpoint on power electronics, re-thinking the basic philosophy governing electricity distribution systems. The proposed concept fully exploits the potential advantages of renewable energy sources and distributed generation (DG), which should not only be connected but also fully integrated into the distribution system in order to increase the efficiency, flexibility, safety, reliability and quality of the electricity and the networks. The transformation of current electricity grids into smart (resilient and...

Knowledge of added body masses that interact with fluid is necessary in various research and applied tasks of hydro- and aeromechanics: steady and unsteady motion of rigid bodies, total vibration of bodies in fluid, local vibration of the external plating of different structures. This reference book contains data on added masses of ships and various ship and marine engineering structures. Also theoretical and experimental methods for determining added masses of these objects are described. A major part of the material is presented in the format of final formulas and plots which are ready...

In recent years, the use of Artificial Intelligence (AI) techniques has been greatly increased. The term intelligence seems to be a must in a large number of European and International project calls. AI Techniques have been used in almost any domain. Application-oriented systems usually incorporate some kind of intelligence by using techniques stemming from intelligent search, knowledge representation, machine learning, knowledge discovery, intelligent agents, computational intelligence etc. The Workshop on Applications with Artificial Intelligence seeks for quality papers on computer...

During the early modern era (c. 1600-1800), philosophers formulated a number of new questions, methods of investigation, and theories regarding the nature of the mind. The result of their efforts has been described as the original cognitive revolution . Topics in Early Modern Philosophy of Mind provides a comprehensive snapshot of this exciting period in the history of thinking about the mind, presenting studies of a wide array of philosophers and topics. Written by some of today s foremost authorities on early modern philosophy, the ten chapters address issues ranging from those...