Free Download J. McKenzie Alexander, "Evolutionary Game Theory "
English | ISBN: 1108713475 | 2023 | 75 pages | PDF | 7 MB
Evolutionary game theory originated in population biology from the realisation that frequency-dependent fitness introduced a strategic element into evolution. Since its development, evolutionary game theory has been adopted by many social scientists, and philosophers, to analyse interdependent decision problems played by boundedly rational individuals. Its study has led to theoretical innovations of great interest for the biological and social sciences. For example, theorists have developed a number of dynamical models which can be used to study how populations of interacting individuals change their behaviours over time. In this introduction, this Element covers the two main approaches to evolutionary game theory: the static analysis of evolutionary stability concepts, and the study of dynamical models, their convergence behaviour and rest points. This Element also explores the many fascinating, and complex, connections between the two approaches.

Free Download Hybrid Evolutionary Algorithms by Ajith Abraham, Crina Grosan, Hisao Ishibuchi
English | PDF (True) | 2007 | 410 Pages | ISBN : 3540732969 | 19.2 MB
Hybridization of evolutionary algorithms is getting popular due to their capabilities in handling several real world problems involving complexity, noisy environment, imprecision, uncertainty and vagueness. This edited volume is targeted to present the latest state-of-the-art methodologies in "Hybrid Evolutionary Algorithms". This book deals with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business or commerce. This volume comprises of 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.

Datta R Evolutionary Constrained Optimization 2015 | 9.69 MB
N/A | 330 Pages

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Branke J Multiobjective Optimization Interactive and Evolutionary App 2008 | 5.18 MB
N/A | 481 Pages

Title: LNCS 5252 - Multiobjective Optimization (Frontmatter Pages)
Author: Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, and Roman Slowinski
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Abraham A Evolutionary Multiobjective Optimization Theoretical Advances 2005 | 8.05 MB
English | 313 Pages

Title: Evolutionary Multiobjective Optimization: Theoretical Advances and Applications (Advanced Information and Knowledge Processing)
Author: Ajith Abraham, Lakhmi C. Jain, Robert Goldberg
Year: 2005

The Paleozoic Era: The History of the Geologic and Evolutionary Changes that Began Over 500 Million Years Ago (Audiobook)
English | ASIN: B0BWKZQQ28 | 2023 | 2 hours and 46 minutes | M4B@128 kbps | 154 MB
Author: Charles River Editors
Narrator: Michelle Humphries
The current view of science is that Earth is around 4.6 billion years old, and the first 4 billion years of its development are known as the Precambrian period. For the first billion years or so, there was no life in Earth. Then the first single-celled life-forms, early bacteria and algae, began to emerge. It's unclear where they came from or even if they originated on this planet at all, but this gradual development continued until around four billion years ago when suddenly (in geological terms) more complex forms of life began to emerge. Scientists call this time of an explosion of new forms of life the Paleozoic Era, and it stretched from around 541 to 250 million years ago. In the oceans and then on land, new creatures and plants began to appear in bewildering variety, and by the end of this period, life on Earth had diversified into a myriad of complex forms that filled virtually every habitat and niche available in the seas and on the planet's only continent, Pangea.

Random Evolutionary Systems: Asymptotic Properties and Large Deviations
English | 2021 | ISBN: 1786307529 | 299 Pages | EPUB (True) | 20 MB
Within the field of modeling complex objects in natural sciences, which considers systems that consist of a large number of interacting parts, a good tool for analyzing and fitting models is the theory of random evolutionary systems, considering their asymptotic properties and large deviations. In Random Evolutionary Systems we consider these systems in terms of the operators that appear in the schemes of their diffusion and the Poisson approximation. Such an approach allows us to obtain a number of limit theorems and asymptotic expansions of processes that model complex stochastic systems, both those that are autonomous and those dependent on an external random environment. In this case, various possibilities of scaling processes and their time parameters are used to obtain different limit results.

Michael James Bennett, "Deleuze and Evolutionary Theory "
English | ISBN: 147443049X | 2019 | 200 pages | PDF | 2 MB
'Deleuze and Evolutionary Theory' gathers together contributions by many of the central theorists in Deleuze studies who have led the way in breaking down the boundaries between philosophical and biological research. They focus on the significance of Deleuze and Guattari's engagements with evolutionary theory across the full range of their work, from the interpretation of Darwin in 'Difference and Repetition', to the symbiotic alliances of wasp and orchid in 'A Thousand Plateaus'. In this way, they explore the anthropological, social and biopolitical significance of the convergences and divergences between philosophy and evolutionary science.

Constraint-Handling in Evolutionary Optimization by Efrén Mezura-Montes
English | PDF | 2009 | 273 Pages | ISBN : 3642006183 | 3.4 MB
An efficient and adequate constraint-handling technique is a key element in the design of competitive evolutionary algorithms to solve complex optimization problems. This edited book presents a collection of recent advances in nature-inspired techniques for constrained numerical optimization. The book covers six main topics: swarm-intelligence-based approaches, studies in differential evolution, evolutionary multiobjective constrained optimization, hybrid approaches, real-world applications and the recent use of the artificial immune system in constrained optimization. Within the chapters, the reader will find different studies about specialized subjects, such as: special mechanisms to focus the search on the boundaries of the feasible region, the relevance of infeasible solutions in the search process, parameter control in constrained optimization, the combination of mathematical programming techniques and evolutionary algorithms in constrained search spaces and the adaptation of novel nature-inspired algorithms for numerical optimization with constraints.

How to Build a Human: In Seven Evolutionary Steps by Pamela S. Turner
English | April 12, 2022 | ISBN: 1623542502 | 176 pages | PDF (Converted) | 45 Mb
The epic story of our evolution in seven big steps!