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• Evolutionary Algorithms: Revisited.- A Novel Evolution Strategy Algorithm.-
• 3. Evolutionary Optimization of Constrained Problems.- An Incest Prevented Evolution Strategy Algorithm.- Evolutionary Solution of Optimal Control Problems.- Evolutionary Design of Robot Controllers.- Evolutionary Behavior-Based Control of Mobile Robots.- Evolutionary Trajectory Planning of Autonomous Robots.- A. Definitions from Probability Theory and Statistics.- B. C-Language Source Code of the NES Algorithm.- C. Convergence Behavior of Evolution Strategies.
• (source: Nielsen Book Data)

Evolutionary computation, a broad field that includes genetic algorithms, evolution strategies, and evolutionary programming, has proven to offer well-suited techniques for industrial and management tasks - therefore receiving considerable attention from scientists and engineers during the last decade. This monograph develops and analyzes evolutionary algorithms that can be successfully applied to real-world problems such as robotic control. Although of particular interest to robotic control engineers, Evolutionary Computations also may interest the large audience of researchers, engineers, designers and graduate students confronted with complicated optimization tasks.
(source: Nielsen Book Data)

• From the contents: Part I Evolvable Robots: Learning for Cooperative Transportation by Autonomous Humanoid Robots.- Evolution, Robustness and Adaptation of Sidewinding Locomotion of Simulated Snake-like Robot.- Part II Evolvable Hardware Synthesis: Evolutionary Synthesis of Synchronous Finite State Machines.- Automating the Hierarchical Synthesis of MEMS Using Evolutionary Approaches.- Part III Evolvable Designs: Evolutionary Computation and Parallel Processing Applied to the Design of Multilayer Perceptrons.- Evolvable Fuzzy Hardware for Real-time Embedded Control in Packet Switching.
• (source: Nielsen Book Data)

Methods for the artificial evolution of active components, such as programs and hardware, are rapidly developing branches of adaptive computation and adaptive engineering. Evolvable Machines reports innovative and significant progress in automatic and evolutionary methodology applied to machine design. This book presents theoretical as well as practical chapters concentrating on Evolvable Robots, Evolvable Hardware Synthesis, as well as Evolvable Design.
(source: Nielsen Book Data)

• part A. Sensors for next-generation robotics II
• part B. Machine intelligence and bio-inspired computation: theory and applications IX.

• Index Fund Optimization Using Genetic Algorithm and Scatter Diagram Based on Coefficients of Determination.- Mining Bayesian Networks from Direct Marketing Databases with Missing Values.- Fuzzy Local Currency based on Social Network Analysis for Promoting Community Businesses.- Evolving Failure Resilience in Scale-Free Networks
• Evolving Networks with Enhanced Linear Stability Properties.- Effectiveness of Close-loop Congestion Controls for DDoS Attacks.- Priority-based Genetic Algorithm for Shortest Path Routing Problem in OSPF.- Evolutionary Network Design by Multiobjective Hybrid Genetic Algorithm.- Hybrid Genetic Algorithm for Designing Logistics Network, VRP and AGV Problems.- Multiobjective Genetic Algorithm for Bicriteria Network Design Problems.- Use of Serendipity Power for Discoveries and Inventions.- Evolution of Retinal Blood Vessel Segmentation Methodology using Wavelet Transforms for Assessment of Diabetic Retinopathy.- Multistage-based Genetic Algorithm for Flexible Job-shop Scheduling Problems.- Implementation of Parallel Genetic Algorithms on Graphics Processing Units.
• (source: Nielsen Book Data)

Artificial evolutionary systems are computer systems, inspired by ideas from natural evolution and related phenomena. The field has a long history, dating back to the earliest days of computer science, but it has only become an established scientific and engineering discipline since the 1990s, with packages for the commonest form, genetic algorithms, now widely available. Researchers in the Asia-Pacific region have participated strongly in the development of evolutionary systems, with a particular emphasis on the evolution of intelligent solutions to highly complex problems. The Asia-Pacific Symposia on Intelligent and Evolutionary Systems have been an important contributor to this growth in impact, since 1997 providing an annual forum for exchange and dissemination of ideas. Participants come primarily from East Asia and the Western Pacific, but contributions are welcomed from around the World. This volume features a selection of fourteen of the best papers from recent APSIES. They illustrate the breadth of research in the region, with applications ranging from business to medicine, from network optimization to the promotion of innovation.
(source: Nielsen Book Data)

• Part I Evolutionary Mobile Robots.- Differential Evolution Approach Using Chaotic Sequences Applied to Planning of Mobile Robot in a Static Environment with Obstacles.- Evolving Modular Robots for Rough Terrain Exploration.- Evolutionary Navigation of Autonomous Robots Under Varying Terrain Conditions.- Aggregate Selection in Evolutionary Robotics.-Evolving Fuzzy Classifier for Novelty Detection and Landmark Recognition by Mobile Robots.- Part II Learning Mobile Robots.- Reinforcement Learning for Autonomous Robotic Fish.- Module-based Autonomous Learning for Mobile Robots.- A Hybrid Adaptive Architecture for Mobile Robots Based on Reactive Behaviours.- Collaborative Robots for Infrastructure Security Applications.- Imitation Learning: An Application in a Micro Robot Soccer Game.
• (source: Nielsen Book Data)

The design and control of autonomous intelligent mobile robotic systems operating in unstructured changing environments includes many objective difficulties. There are several studies about the ways in which, robots exhibiting some degree of autonomy, adapt themselves to fit in their environments. The application and use of bio-inspired and intelligent techniques such as reinforcement learning, artificial neural networks, evolutionary computation and so forth in the design and improvement of robot designs is an emergent research topic. Researchers have obtained robots that display an amazing slew of behaviours and perform a multitude of tasks. These include perception of environment, planning and navigation in rough terrain, pushing boxes, negotiating an obstacle course, etc. This volume offers a wide spectrum of sample works developed in leading research throughout the world about evolutionary mobile robotics and demonstrates the success of the technique in evolving efficient and capable mobile robots.
(source: Nielsen Book Data)

• Enactive Cognitive Science
• Methods and Methodology
• Linear Synergies as a Principle in Motor Control
• An Exploration of Value Systems Architectures
• Perceptual Crossing in One Dimension
• Perceptual Crossing in Two Dimensions
• The Embodiment of Time
• An Experiment on Adaptation to Tactile Delays
• Simulating the Experiment on Tactile Delays
• Perceived Simultaneity and Sensorimotor Latencies
• Outlook.

The book "Enaction, Embodiment, Evolutionary Robotics" proposes how a particular kind of simulation model, i.e. Evolutionary Robotics simulations, can help to solve several problems in Cognitive Science. Examples discussed in the book ranges from motor control, neuroscientific theory, social contingency and time perception. It is argued that methodological minimalism can be a merit, not a shortcoming, even when studying something as complex as the human mind. The book concludes by proposing a new minimalist interdisciplinary framework for the study of perception, combining simulation modeling, experimental methods and accounts of subjective experience. This book endorses an enactive and constructivist view on the human mind, in opposition to the traditional information-processing view. Furthermore, the book discusses and presents the enactive approach, clarifies the assets of this view and how it differs from other proposed alternatives to the computationalist paradigm in AI and Cognitive Science, crucial and missing in the ongoing "embodied turn." The book also presents new experimental results on a number of topics and points out connections between them. Finally, the book proposes a novel framework for the study of perception that combines a number of methods, including computational modeling, in a previously unseen and promising way.