Random number generators: good ones are hard to find
Communications of the ACM
Asynchronous organizations for multi-algorithm problems
SAC '93 Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice
String barcoding: uncovering optimal virus signatures
Proceedings of the sixth annual international conference on Computational biology
Asynchronous Organizations for Solving the Point-to-Point Connection Problem
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
A-Teams and Their Applications
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
JABAT middleware as a tool for solving optimization problems
Transactions on computational collective intelligence II
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The selection of probe sets for hybridization experiments directly affects the efficiency and cost of the analysis. We propose the application of the Asynchronous Team (A-Team) technique to determine near-optimal probe sets. An A-Team is comprised of several different heuristic algorithms that communicate with each other via shared memories. The A-Team method has been applied successfully to several problems including the Set Covering Problem, the Traveling Salesman Problem, and the Point-to-Point Connection Problem, and lends itself well to the Probe Selection Problem. We designed and developed a C + + program to run instances of the Minimum Cost Probe Set and Maximum Distinguishing Probe Set problems. A program description and our results are presented in the paper.