Dynamics and domain walls: is the “landscape paradigm” instructive?
Proceedings of the 16th annual international conference of the Center for Nonlinear Studies on Landscape paradigms in physics and biology : concepts, structures and dynamics: concepts, structures and dynamics
Ant Colony Optimization
Generalized benchmark generation for dynamic combinatorial problems
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
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Stochastic solvers are researched primarily with the goal of providing 'black box' optimisation approaches for situations where the optimisation problem is too complex to model and therefore impossible to solve using a deterministic approach. Sometimes, however, problems or their instances have characteristics which interact with the solver in undocumented and unpredictable ways. This paper reviews some pertinent examples in the literature and provides an experiment which demonstrates that ant colony optimisation has arcane mechanisms which are partly responsible for results which are currently attributed to the pheromone-based learning.