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SOCO
2010
Springer
13 years 6 months ago
Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics
Local genetic algorithms have been designed with the aim of providing effective intensiļ¬cation. One of their most outstanding features is that they may help classical local searc...
Carlos García-Martínez, Manuel Lozan...
GECCO
2009
Springer
192views Optimization» more  GECCO 2009»
13 years 5 months ago
Improving SMT performance: an application of genetic algorithms to configure resizable caches
Simultaneous Multithreading (SMT) is a technology aimed at improving the throughput of the processor core by applying Instruction Level Parallelism (ILP) and Thread Level Parallel...
Josefa Díaz, José Ignacio Hidalgo, F...
GECCO
2007
Springer
211views Optimization» more  GECCO 2007»
14 years 1 months ago
Multi-objective univariate marginal distribution optimisation of mixed analogue-digital signal circuits
Design for specific customer service plays a crucial role for the majority of the market in modern electronics. However, adaptability to an individual customer results in increasi...
Lyudmila Zinchenko, Matthias Radecker, Fabio Bisog...
TACO
2008
130views more  TACO 2008»
13 years 7 months ago
Efficient hardware code generation for FPGAs
r acceptance of FPGAs as a computing device requires a higher level of programming abstraction. ROCCC is an optimizing C to HDL compiler. We describe the code generation approach i...
Zhi Guo, Walid A. Najjar, Betul Buyukkurt
GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
14 years 1 months ago
An Effective Chromosome Representation for Evolving Flexible Job Shop Schedules
As the Flexible Job Shop Scheduling Problem (or FJSP) is strongly NP-hard, using an evolutionary approach to find near-optimal solutions requires effective chromosome representatio...
Joc Cing Tay, Djoko Wibowo