chapter 1 Evolutionary Algorithms -- chapter 2 An Overview of Neural Networks Models -- chapter 3Ant ColonyOptimization -- chapter 4 Swarm Intelligence -- chapter 5 Parallel Genetic Programming: Methodology, History,and Application to Real-Life Problems -- chapter 6 Parallel Cellular Algorithms and Programs -- chapter 7 Decentralized Cellular Evolutionary Algorithms -- chapter 8 Optimization via Gene Expression Algorithms -- chapter 9 Dynamic Updating DNA Computing Algorithms -- chapter 10 A Unified View on Metaheuristics and Their Hybridization -- chapter 11 The Foundations of Autonomic Computing -- chapter 12 Setting Parameter Values for Parallel Genetic Algorithms: Scheduling Tasks on a Cluster -- chapter 13 Genetic Algorithms for Scheduling in Grid Computing Environments: A Case Study -- chapter 14 Minimization of SADMs in Unidirectional SONET/WDM Rings Using Genetic Algorithms -- chapter 15 Solving Optimization Problems in Wireless Networks Using Genetic Algorithms -- chapter 16 Medical Imaging and Diagnosis Using Genetic Algorithms -- chapter 17 Scheduling and Rescheduling with Use of Cellular Automata -- chapter 18 Cellular Automata, PDEs, and Pattern Formation -- chapter 19 Ant Colonies and the Mesh-Partitioning Problem -- chapter 20 Simulating the Strategic Adaptation of Organizations Using OrgSwarm -- chapter 21 BeeHive: New Ideas for Developing Routing Algorithms Inspired by Honey Bee Behavior -- chapter 22 Swarming Agents for Decentralized Clustering in Spatial Data -- chapter 23 Biological Inspired Based IntrusionDetection Modelsfor MobileTelecommunicationSystems -- chapter 24 Synthesis of Multiple-Valued Circuits by Neural Networks -- chapter 25 On the Computing Capacity of Multiple-Valued Multiple-Threshold Perceptrons -- chapter 26 Advanced Evolutionary Algorithms for Training Neural Networks -- chapter 27 Bio-Inspired Data Mining -- chapter 28 A Hybrid Evolutionary Algorithm for Knowledge Discovery in Microarray Experiments -- chapter 29 An Evolutionary Approach to Problems in Electrical Engineering Design -- chapter 30 Solving the Partitioning Problem in Distributed Virtual Environment Systems Using Evolutive Algorithms / chapter 31 Population Learning Algorithm and Its Applications -- chapter 32 Biology-Derived Algorithms in Engineering Optimization -- chapter 33 Biomimetic Models for Wireless Sensor Networks / chapter 34 A Cooperative Parallel Metaheuristic Applied to the Graph Coloring Problem -- chapter 35 Frameworks for the Design of Reusable Parallel and Distributed Metaheuristics -- chapter 36 Parallel Hybrid Multiobjective Metaheuristics on P2P Systems.