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ICPP
1999
IEEE
15 years 3 months ago
Efficient Techniques for Distributed Implementation of Search-Based AI Systems
We study the problem of exploiting parallelism from search-based AI systems on distributed machines. We propose stack-splitting, a technique for implementing orparallelism, which ...
Gopal Gupta, Enrico Pontelli
102
Voted
NIPS
1993
15 years 12 days ago
Optimal Stochastic Search and Adaptive Momentum
Stochastic optimization algorithms typically use learning rate schedules that behave asymptotically as (t) = 0=t. The ensemble dynamics (Leen and Moody, 1993) for such algorithms ...
Todd K. Leen, Genevieve B. Orr
HPCC
2007
Springer
15 years 5 months ago
Parallel Genetic Algorithms for DVS Scheduling of Distributed Embedded Systems
Many of today’s embedded systems, such as wireless and portable devices rely heavily on the limited power supply. Therefore, energy efficiency becomes one of the major design con...
Man Lin, Chen Ding
83
Voted
CEC
2010
IEEE
15 years 5 days ago
Accelerated optimisation of chemotherapy dose schedules using fitness inheritance
Abstract-- Cancer treatment by chemotherapy involves multiple applications of toxic drugs over a period of time. Optimising the schedule of these treatments can improve the outcome...
Robert Barbour, David W. Corne, John A. W. McCall
63
Voted
GECCO
2008
Springer
108views Optimization» more  GECCO 2008»
15 years 4 days ago
The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy
This paper discusses the effects of mutation and directed intervention crossover approaches when applied to the derivation of cancer chemotherapy treatment schedules. Unlike trad...
Paul M. Godley, David E. Cairns, Julie Cowie, Kevi...