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» Solving iterated functions using genetic programming
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ENGL
2007
191views more  ENGL 2007»
15 years 3 months ago
Application of Genetic Algorithm to the Optimization of Gain of Magnetized Ferrite Microstrip Antenna
The application of Genetic Algorithm (GA) to the optimization of gain of microstrip antenna, fabricated on ferrite substrate, biased externally by a steady magnetic field, is repor...
Neela Chattoraj, Jibendu Sekhar Roy
95
Voted
GECCO
2004
Springer
15 years 9 months ago
Dynamic Uniform Scaling for Multiobjective Genetic Algorithms
Before Multiobjective EvolutionaryAlgorithms (MOEAs) can be used as a widespread tool for solving arbitrary real world problems there are some salient issues which require further ...
Gerulf K. M. Pedersen, David E. Goldberg
126
Voted
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 7 months ago
Convergence to global optima for genetic programming systems with dynamically scaled operators
This work shows asymptotic convergence to global optima for a family of dynamically scaled genetic programming systems where the underlying population consists of a fixed number o...
Lothar M. Schmitt, Stefan Droste
128
Voted
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 4 months ago
ASAGA: an adaptive surrogate-assisted genetic algorithm
Genetic algorithms (GAs) used in complex optimization domains usually need to perform a large number of fitness function evaluations in order to get near-optimal solutions. In rea...
Liang Shi, Khaled Rasheed
128
Voted
ACSC
2004
IEEE
15 years 7 months ago
On Evolving Fixed Pattern Strategies for Iterated Prisoner's Dilemma
Table 1 shows the payoff to player one. The same matrix also holds for player two. Player one can gain the maximum 5 points (T = 5) by defection if player two cooperates. However,...
Daniel Jang, Peter A. Whigham, Grant Dick