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» Investigating human-computer optimization
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ICGA
1993
145views Optimization» more  ICGA 1993»
15 years 5 months ago
Genetic Programming of Minimal Neural Nets Using Occam's Razor
A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
Byoung-Tak Zhang, Heinz Mühlenbein
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 5 months ago
Experiments with indexed FOR-loops in genetic programming
We investigated how indexed FOR-loops, such as the ones found in procedural programming languages, can be implemented in genetic programming. We use them to train programs that le...
Gayan Wijesinghe, Victor Ciesielski
GECCO
2008
Springer
140views Optimization» more  GECCO 2008»
15 years 5 months ago
A bivariate probabilistic model-building genetic algorithm for graph bipartitioning
We investigate a bi-variate probabilistic model-building GA for the graph bipartitioning problem. The graph bipartitioning problem is a grouping problem that requires some modifi...
Dirk Thierens
AAMAS
2007
Springer
15 years 4 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
ADHOC
2007
159views more  ADHOC 2007»
15 years 4 months ago
Cross-layer adaptive control for wireless mesh networks
Abstract— This paper investigates optimal routing and adaptive scheduling in a wireless mesh network composed of mesh clients and mesh routers. The mesh clients are power constra...
Michael J. Neely, Rahul Urgaonkar