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GECCO
2005
Springer
130views Optimization» more  GECCO 2005»
10 years 5 months ago
Hybrid real-coded mutation for genetic algorithms applied to graph layouts
In this paper we introduce an application of real-coded genetic algorithms to the problem of consistent graph layout and exploring the role of mutation for this particular problem...
Dana Vrajitoru, Jason DeBoni
GECCO
2005
Springer
114views Optimization» more  GECCO 2005»
10 years 5 months ago
A resource-allocation mechanism for multiagent networks
The nature of computer networks and the manner in which network services are provided are changing dramatically. Network architectures that employ virtual mobile agents to provide...
Vishakh, Nicholas Urrea, Tadashi Nakano, Tatsuya S...
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
10 years 5 months ago
Evolving analog controllers for correcting thermoacoustic instability in real hardware
Previous research demonstrated that Evolvable Hardware (EH) techniques can be employed to suppress Thermoacoustic (TA) instability in a computer simulated combustion chamber. Thou...
Saranyan Vigraham, John C. Gallagher, Sanjay K. Bo...
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
10 years 5 months ago
Constructing good learners using evolved pattern generators
Self-organization of brain areas in animals begins prenatally, evidently driven by spontaneously generated internal patterns. The neural structures continue to develop postnatally...
Vinod K. Valsalam, James A. Bednar, Risto Miikkula...
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
10 years 5 months ago
Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments
This paper addresses the evolution of control strategies for a collective: a set of entities that collectively strives to maximize a global evaluation function that rates the perf...
Kagan Tumer, Adrian K. Agogino
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
10 years 5 months ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
10 years 5 months ago
Solving large scale combinatorial optimization using PMA-SLS
Memetic algorithms have become to gain increasingly important for solving large scale combinatorial optimization problems. Typically, the extent of the application of local search...
Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo E...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
10 years 5 months ago
Learned mutation strategies in genetic programming for evolution and adaptation of simulated snakebot
In this work we propose an approach of incorporating learned mutation strategies (LMS) in genetic programming (GP) employed for evolution and adaptation of locomotion gaits of sim...
Ivan Tanev
GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
10 years 5 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...
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