42 citations · 46 across the 5 of their papers we have counts for
5 papers
Can Bio-Inspired Swarm Algorithms Scale to Modern Societal Problems
Darren M. Chitty, Elizabeth Wanner, Rakhi Parmar +1
Taking inspiration from nature for meta-heuristics has proven popular and relatively successful. Many are inspired by the collective intelligence exhibited by insects, fish and bir…
Applying Partial-ACO to Large-scale Vehicle Fleet Optimisation
Darren M. Chitty, Elizabeth Wanner, Rakhi Parmar +1
Optimisation of fleets of commercial vehicles with regards scheduling tasks from various locations to vehicles can result in considerably lower fleet traversal times. This has sign…
Exploiting Tournament Selection for Efficient Parallel Genetic Programming
Darren M. Chitty
Genetic Programming (GP) is a computationally intensive technique which is naturally parallel in nature. Consequently, many attempts have been made to improve its run-time from exp…
Applying ACO To Large Scale TSP Instances
Darren M. Chitty
Ant Colony Optimisation (ACO) is a well known metaheuristic that has proven successful at solving Travelling Salesman Problems (TSP). However, ACO suffers from two issues; the firs…
Faster GPU Based Genetic Programming Using A Two Dimensional Stack
Darren M. Chitty
Genetic Programming (GP) is a computationally intensive technique which also has a high degree of natural parallelism. Parallel computing architectures have become commonplace espe…