Bio-Inspired Schemes for Global Optimization and Online Distributed Search

Abstract

A recent strand of research in optimization methods has been inspired by collective forms of intelligence present in many biological systems (e.g. swarming, flocking). In these systems, a great deal of coordination is achieved under relatively minimal communication requirements. In this research project we have developed new methods for global optimization and distributed search that are inspired by certain biological systems.

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Document Details

Document Type
Technical Report
Publication Date
Apr 23, 2012
Accession Number
ADA567710

Entities

People

  • Alfredo Garcia

Organizations

  • University of Virginia

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Annealing
  • Congestion
  • Contracts
  • Convergence
  • Department Of Defense
  • Distance Learning
  • Electrical Engineering
  • Engineering
  • Information Processing
  • Markov Chains
  • Optimization
  • Probability
  • Sampling
  • Students
  • Systems Biology

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Operations Research