Ponnuthurai Nagaratnam Suganthan – författare

The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving.

This book presents recent contributions and significant development, advanced issues, and challenges. In real-world problems and applications, most of the optimization problems involve different types of constraints. These problems are called constrained optimization problems (COPs). The optimization of the constrained optimization problems is considered a challenging task since the optimum solution(s) must be feasible. In their original design, evolutionary algorithms (EAs) are able to solve unconstrained optimization problems effectively. As a result, in the past decade, many researchers have developed a variety of constraint handling techniques, incorporated into (EAs) designs, to counter this deficiency.

The main objective for this book is to make available a self-contained collection of modern research addressing the general constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduateclass on optimization, but will also be useful for interested senior students working on their research projects.

The prediction of behavior of complex systems, analysis and modeling of its structure is a vitally important problem in engineering, economy and generally in science today. Examples of such systems can be seen in the world around us (including our bodies) and of course in almost every scientific discipline including such “exotic” domains as the earth’s atmosphere, turbulent fluids, economics (exchange rate and stock markets), population growth, physics (control of plasma), information flow in social networks and its dynamics, chemistry and complex networks. To understand such complex dynamics, which often exhibit strange behavior, and to use it in research or industrial applications, it is paramount to create its models. For this purpose there exists a rich spectrum of methods, from classical such as ARMA models or Box Jenkins method to modern ones like evolutionary computation, neural networks, fuzzy logic, geometry, deterministic chaos amongst others.

This proceedings book is a collection of accepted papers of the Nostradamus conference that has been held in Ostrava, Czech Republic in June 2014. This book also includes outstanding keynote lectures by distinguished guest speakers: René Lozi (France), Ponnuthurai Nagaratnam Suganthan (Singapore) and Lars Nolle (Germany). The main aim of the conference was to create a periodical possibility for students, academics and researchers to exchange their ideas and novel research methods. This conference establishes a forum for presentation and discussion of recent research trends in the area of applications of various predictive methods.

This volume constitutes the thoroughly refereed post-conference proceedings of the 5th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2014, held in Bhubaneswar, India, in December 2014.

The total of 96 papers presented in this volume was carefully reviewed and selected from 250 submissions for inclusion in the proceedings. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering.

This proceedings bring together contributions from researchersfrom academia and industry to report the latest cutting edge research made inthe areas of Fuzzy Computing, Neuro Computing and hybrid Neuro-Fuzzy Computingin the paradigm of Soft Computing. The FANCCO 2015 conference explored newapplication areas, design novel hybrid algorithms for solving different realworld application problems. After a rigorous review of the 68 submissions fromall over the world, the referees panel  selected 27 papers to be presented at theConference. The acceptedpapers have a good, balanced mix of theory and applications. The techniquesranged from fuzzy neural networks, decision trees, spiking neural networks,self organizing feature map, support vector regression, adaptive neuro fuzzyinference system, extreme learning machine, fuzzy multi criteria decisionmaking, machine learning, web usage mining, Takagi-Sugeno Inference system,extended Kalman filter, Goedel type logic, fuzzy formal concept analysis, biclusteringetc. The applications ranged from social network analysis, twitter sentimentanalysis, cross domain sentiment analysis, information security, educationsector, e-learning, information management, climate studies, rainfallprediction, brain studies, bioinformatics, structural engineering, sewage waterquality, movement of aerial vehicles,  etc.