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» Optimizing Sorting with Genetic Algorithms
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124
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GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
15 years 8 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
114
Voted
GECCO
2004
Springer
15 years 8 months ago
Non-stationary Subtasks Can Improve Diversity in Stationary Tasks
Low diversity in a genetic algorithm (GA) can cause the search to become stagnant upon reaching a local optimum. To some extent, non-stationary tasks avoid this problem, which woul...
Christopher Willis-Ford, Terence Soule
ICTAI
2000
IEEE
15 years 7 months ago
Self-optimising CBR retrieval
One reason why Case-Based Reasoning (CBR) has become popular is because it reduces development cost compared to rule-based expert systems. Still, the knowledge engineering effort ...
Jacek Jarmulak, Susan Craw, Ray Rowe
DEXAW
1999
IEEE
124views Database» more  DEXAW 1999»
15 years 7 months ago
A Web-Based Evolutionary Model for Internet Data Caching
Caching is a standard solution to the problem of insufcient bandwidth caused by the rapid increase of information circulation across the Internet. Cache consistency mechanisms are...
Athena Vakali
122
Voted
CIBCB
2007
IEEE
15 years 6 months ago
Hybrid Architecture for Accelerating DNA Codeword Library Searching
-- A large and reliable DNA codeword library is the key to the success of DNA based computing. Searching for the set of reliable DNA codewords is an NP-hard problem, which can take...
Qinru Qiu, Daniel J. Burns, Qing Wu, Prakash Mukre