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» The State Problem for Evolutionary Testing
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GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
15 years 3 months ago
Multicriteria Network Design Using Evolutionary Algorithm
In this paper, we revisit a general class of multi-criteria multi-constrained network design problems and attempt to solve, in a novel way, with Evolutionary Algorithms (EAs). A ma...
Rajeev Kumar, Nilanjan Banerjee
TEC
2002
101views more  TEC 2002»
14 years 9 months ago
Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
This paper proposes a novel evolutionary algorithm inspired by quantum computing, called a quantum-inspired evolutionary algorithm (QEA), which is based on the concept and principl...
Kuk-Hyun Han, Jong-Hwan Kim
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 3 months ago
A comparison of evolutionary algorithms for system-level diagnosis
The size and complexity of systems based on multiple processing units demand techniques for the automatic diagnosis of their state. System-level diagnosis consists in determining ...
Bogdan Tomoyuki Nassu, Elias Procópio Duart...
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
15 years 3 months ago
Toward evolved flight
We present the first hardware-in-the-loop evolutionary optimization on an ornithopter. Our experiments demonstrate the feasibility of evolving flight through genetic algorithms an...
Rusty Hunt, Gregory Hornby, Jason D. Lohn
AAAI
1996
14 years 11 months ago
Deciding to Remind During Collaborative Problem Solving: Empirical Evidence for Agent Strategies
Previous work suggests that reminding a conversational partner of mutually known information depends on the conversants' attentional state, their resource limits and the reso...
Pamela W. Jordan, Marilyn A. Walker