The blackboard model of problem solving
AI Magazine
High-performance computer architecture
High-performance computer architecture
Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Overlapping vs partitioning in block-iteration methods: application in large-scale system theory
Automatica (Journal of IFAC)
Nested epsilon decompositions of linear systems: weakly coupled and overlapping blocks
SIAM Journal on Matrix Analysis and Applications
Team Algorithms Based on Ant Colony Optimization --- A New Multi-Objective Optimization Approach
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Automatica (Journal of IFAC)
Using free cloud storage services for distributed evolutionary algorithms
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Journal of Global Optimization
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This paper formalizes a general technique to combine different methods in the solution of large systems of nonlinear equations using parallel asynchronous implementations on distributed-memory multiprocessor systems. Such combinations of methods, referred to as Team Algorithms, are evaluated as a way of obtaining desirable properties of different methods and a sufficient condition for their convergence is derived. The load flow problem of electrical power networks is presented as an example problem that, under certain conditions, has the characteristics to make a Team Algorithm an appealing choice for its solution. Experimental results of an implementation on an Intel iPSC/860 Hypercube are reported, showing that considerable speedup and robustness can be obtained using team algorithms.