Handbook of Bioinspired Algorithms and Applications Ed by Stephan Olariu and Albert Y. Zomaya
By: Olariu, Stephan.
Contributor(s): Zomaya, Albert Y.Material type: BookSeries: Chapman & Hall/CRC Computer and Information Science Series ; CRC Reference Collection. Publisher: Boca Raton CRC Press 2013Edition: First Indian Edition.Description: I-679p.ISBN: 9781584884750.Subject(s): Computer EngineeringDDC classification: 005.1
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|Book||Institute of Technology||Reference||005.1 HAN (Browse shelf)||Not For Loan||T0041439|
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Models And Paradigms Evolutionary Algorithms An Overview of Neural Networks Models Ant Colony Optimization Swarm Intelligence Parallel Genetic Programming: Methodology, History, and Application to Real Life Problems Parallel Cellular Algorithms and Programs Decentralized Cellular Evolutionary Algorithms Optimization via Gene Expression Algorithms Dynamic Updating DNA Computing Algorithms A Unified View on Metaheuristics and Their Hybridization The Foundations of Autonomic Computing Application Domains Setting Parameter Values for Parallel Genetic Algorithms: Scheduling Tasks on a Cluster Genetic Algorithms for Scheduling in Grid Computing Environments: A Case Study Minimization of SADMs in Unidirectional SONET/WDM Rings Using Genetic Algorithms Solving Optimization Problems in Wireless Networks Using Genetic Algorithms Medical Imaging and Diagnosis Using Genetic Algorithms Scheduling and Rescheduling with Use of Cellular Automata Cellular Automata, PDEs, and Pattern Formation Ant Colonies and the Mesh Partitioning Problem Simulating the Strategic Adaptation of Organizations Using OrgSwarm BeeHive: New Ideas for Developing Routing Algorithms Inspired by Honey Bee Behavior Swarming Agents for Decentralized Clustering in Spatial Data Biological Inspired Based Intrusion Detection Models for Mobile Telecommunication Systems Synthesis of Multiple Valued Circuits by Neural Networks On the Computing Capacity of Multiple Valued Multiple Threshold Perceptrons Advanced Evolutionary Algorithms for Training Neural Networks Bio Inspired Data Mining A Hybrid Evolutionary Algorithm for Knowledge Discovery in Microarray Experiments An Evolutionary Approach to Problems in Electrical Engineering Design Solving the Partitioning Problem in Distributed Virtual Environment Systems Using Evolutive Algorithms Population Learning Algorithm and Its Applications Biology Derived Algorithms in Engineering Optimization Biomimetic Models for Wireless Sensor Networks A Cooperative Parallel Metaheuristic Applied to the Graph Coloring Problem Frameworks for the Design of Reusable Parallel and Distributed Metaheuristics Parallel Hybrid Multiobjective Metaheuristics on P2P Systems Index