New Developments in Evolutionary Computation Research

Sean Washington (Editor)

Series: Computer Science, Technology and Applications
BISAC: COM014000




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A common approach for solving simulation-driven engineering problems is by using metamodel-assisted optimization algorithms, namely, in which a metamodel approximates the computationally expensive simulation and provides predicted values at a lower computational cost. Such algorithms typically generate an initial sample of solutions which are then used to train a preliminary metamodel and to initiate an optimization process.

One approach for generating the initial sample is with the design of experiment methods which are statistically oriented, while the more recent search-driven sampling approach invokes a computational intelligence optimizer such as an evolutionary algorithm, and then uses the vectors it generated as the initial sample. This book discusses research and new developments on evolutionary computation.
(Imprint: Nova)


Chapter 1 - Multi-Objective Optimization of Trading Strategies Using Genetic Algorithms in Unstable Environments (pp. 1-72)
José Matias Pinto, Rui Ferreira Neves and Nuno Horta (Instituto de Telecomunicações, Instituto Superior Técnico, Torre Norte, Av. Rovisco Pais, Lisboa, Portugal)

Chapter 2 - Promoting Better Generalisation in Multi-Layer Perceptrons Using a Simulated Synaptic Downscaling Mechanism (pp. 73-106)
A. Brabazon, A. Agapitos and M. O'Neill (Complex Adaptive Systems Laboratory and School of Business, University College Dublin, Dublin, Ireland, and others)

Chapter 3 - Plant Propagation-Inspired Algorithms (pp. 107-132)
A. Brabazon, S. McGarraghy and A. Agapitos (Complex Adaptive Systems Laboratory and School of Business, University College Dublin, Dublin, Ireland, and others)

Chapter 4 - Topographical Clearing Differential Evolution Applied to Real-World Multimodal Optimization Problems (pp. 133-158)
Wagner F. Sacco, Ana Carolina Rios-Coelho and Nélio Henderson (Universidade Federal do Oeste do Pará, Santarém, PA, Brazil, and others)

Chapter 5 - Robotics, Evolution and Interactivity in Sonic Art Installations (pp. 159-182)
Artemis Moroni and Jônatas Manzolli (Robotics and Computer Vision Division / Center for Information Technology Renato Archer – DRVC/CTI, and others)

Chapter 6 - An Analysis of Evolutionary-Based Sampling Methodologies (pp. 183-214)
Yoel Tenne (Department of Mechanical and Mechatronic Engineering, Ariel Univresity, Israel)


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