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MP
2008
99views more  MP 2008»
15 years 1 months ago
Efficient robust optimization for robust control with constraints
This paper proposes an efficient computational technique for the optimal control of linear discrete-time systems subject to bounded disturbances with mixed polytopic constraints o...
Paul J. Goulart, Eric C. Kerrigan, Daniel Ralph
EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 5 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
EOR
2007
77views more  EOR 2007»
15 years 1 months ago
Solving the short-term electrical generation scheduling problem by an adaptive evolutionary approach
In this paper, we introduce an adaptive evolutionary approach to solve the short-term electrical generation scheduling problem (STEGS). The STEGS is a hard constraint satisfaction...
Jorge Maturana, María-Cristina Riff
KR
1992
Springer
15 years 5 months ago
Intelligent Backtracking Techniques for Job Shop Scheduling
This paper studies a version of the job shop scheduling problem in which some operations have to be scheduled within non-relaxable time windows i.e. earliest latest possible start...
Yalin Xiong, Norman M. Sadeh, Katia P. Sycara
AUSAI
2007
Springer
15 years 5 months ago
Branching Rules for Satisfiability Analysed with Factor Analysis
Factor analysis is a statistical technique for reducing the number of factors responsible for a matrix of correlations to a smaller number of factors that may reflect underlying va...
Richard J. Wallace, Stuart Bain