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Found 4 papers, 0 papers with code
Can Bio-Inspired Swarm Algorithms Scale to Modern Societal Problems
Reducing the decision making required by ants by up to 90% results in markedly improved effectiveness and reduced runtimes for increasingly complex fleet optimisation problems.
Applying Partial-ACO to Large-scale Vehicle Fleet Optimisation
Exact optimisation methods fail to scale to real commercial problem instances, thus meta-heuristics are more suitable.
Exploiting Tournament Selection for Efficient Parallel Genetic Programming
Genetic Programming (GP) is a computationally intensive technique which is naturally parallel in nature.
Applying ACO To Large Scale TSP Instances
However, ACO suffers from two issues; the first is that the technique has significant memory requirements for storing pheromone levels on edges between cities and second, the iterative probabilistic nature of choosing which city to visit next at every step is computationally expensive.
