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CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Locust swarms: a new multi-optima search technique
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
An Analysis of Locust Swarms on Large Scale Global Optimization Problems
ACAL '09 Proceedings of the 4th Australian Conference on Artificial Life: Borrowing from Biology
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
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ACAL'07 Proceedings of the 3rd Australian conference on Progress in artificial life
An Analysis of Locust Swarms on Large Scale Global Optimization Problems
ACAL '09 Proceedings of the 4th Australian Conference on Artificial Life: Borrowing from Biology
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Locust Swarms are a newly developed multi-optima particle swarm. They were explicitly developed for non-globally convex search spaces, and their non-convergent search behaviours can also be useful for problems with fractal and fractured landscapes. On the 1000-dimensional "FastFractal" problem used in the 2008 CEC competition on Large Scale Global Optimization, Locust Swarms can perform better than all of the methods in the competition. Locust Swarms also perform very well on a real-world optimization problem that has a fractured landscape. The extent and the effects of a fractured landscape are observed with a practical new measurement that is affected by the degree of fracture and the lack of regularity and symmetry in a fitness landscape.