Intelligent Decision Systems in Large-Scale Distributed Environments
One of the most challenging issues for the intelligent decision systems is to effectively manage the large-scale complex distributed environments such as computational clouds, grids, ad hoc and P2P networks, under the different types of users, their relations, and real-world uncertainties. In this c...
Corporate Author: | |
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Other Authors: | , , |
Format: | Electronic eBook |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2011.
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Series: | Studies in Computational Intelligence,
362 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Task Allocation Oriented Users Decisions in Computational Grid
- Efficient Hierarchical Task Scheduling on GRIDS Accounting for Computation and Communications
- Multi-objective Cooperative Coevolutionary Evolutionary Algorithms for Continuous and Combinatorial Optimization
- Parallel Evolutionary Algorithms for Energy Aware Scheduling
- Biologically-inspired Methods and Game Theory in Multi-criterion
- Decision Processes
- Advanced Planning in Vertically Integrated Supply Chains
- Efficient Data Sharing over Large-Scale Distributed Communities
- Hierarchical Multi-Agent System for Heterogeneous Data Integration
- Emerging Cooperation in the Spatial IPD with Reinforcement Learning and Coalitions
- Evolutionary and Economic Agents in Complex Decision Systems
- On Reconfiguring Embedded Application Placement on Smart Sensing and Actuating Environments
- Market-oriented Resource Providing Networks
- Distributed Evolutionary Algorithm Using the MapReduce Paradigm – a Case Study for Data Compaction Problem
- Virtual Accelerated Life Testing of Complex Systems
- Alvis – Modelling Language for Concurrent Systems.