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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
16 years 4 days ago
Exploring extended particle swarms: a genetic programming approach
Particle Swarm Optimisation (PSO) uses a population of particles that fly over the fitness landscape in search of an optimal solution. The particles are controlled by forces tha...
Riccardo Poli, Cecilia Di Chio, William B. Langdon
GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
16 years 4 days ago
Learning basic navigation for personal satellite assistant using neuroevolution
The Personal Satellite Assistant (PSA) is a small robot proposed by NASA to assist astronauts who are living and working aboard the space shuttle or space station. To help the ast...
Yiu-Fai Sit, Risto Miikkulainen
GECCO
2005
Springer
193views Optimization» more  GECCO 2005»
16 years 4 days ago
On the contribution of gene libraries to artificial immune systems
Gene libraries have been added to Artificial Immune Systems in analogy to biological immune systems, but to date no careful study of their effect has been made. This work investig...
Peter Spellward, Tim Kovacs
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GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
16 years 4 days ago
Improving GA search reliability using maximal hyper-rectangle analysis
In Genetic algorithms it is not easy to evaluate the confidence level in whether a GA run may have missed a complete area of good points, and whether the global optimum was found....
Chongshan Zhang, Khaled Rasheed
ICCSA
2005
Springer
16 years 4 days ago
Ascent Phase Trajectory Optimization for a Hypersonic Vehicle Using Nonlinear Programming
In this paper we present a nonlinear programming solution to one of the most challenging problems in trajectory optimization. Unlike most aerospace trajectory optimization problems...
H. M. Prasanna, D. Ghose, M. S. Bhat, Chiranjib Bh...
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