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GECCO
2007
Springer
241views Optimization» more  GECCO 2007»
15 years 9 months ago
Binary ant algorithm
When facing dynamic optimization problems the goal is no longer to find the extrema, but to track their progression through the space as closely as possible. Over these kind of ov...
Carlos Fernandes, Agostinho C. Rosa, Vitorino Ramo...
150
Voted
ICML
2001
IEEE
16 years 4 months ago
Direct Policy Search using Paired Statistical Tests
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
Malcolm J. A. Strens, Andrew W. Moore
95
Voted
IAT
2009
IEEE
15 years 10 months ago
Towards Zero-Delay Recovery of Agents in Production Automation Systems
Multi-agent systems (MAS) is an accepted paradigm in safety-critical systems, like the production automation. Agents control the underlying machinery they are representing and int...
eva Kühn, Richard Mordinyi, Mario Lang, Adnan...
DATE
2008
IEEE
103views Hardware» more  DATE 2008»
15 years 9 months ago
Novel Pin Assignment Algorithms for Components with Very High Pin Counts
The wiring effort and thus, the routability of electronic designs such as printed circuit boards, multi chip modules and single chip modules largely depends on the assignment of s...
Tilo Meister, Jens Lienig, Gisbert Thomke
CEC
2007
IEEE
15 years 9 months ago
Improving generalization capability of neural networks based on simulated annealing
— This paper presents a single-objective and a multiobjective stochastic optimization algorithms for global training of neural networks based on simulated annealing. The algorith...
Yeejin Lee, Jong-Seok Lee, Sun-Young Lee, Cheol Ho...