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D. Chitty

4 papers hereh-index 7337 citations44 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.NE4

identity via Semantic Scholar / OpenAlex

activity
20172019
most citedApplying ACO To Large Scale TSP Instances

42 citations · 44 across the 3 of their papers we have counts for

collaborators
Showing cs.NEShow all

4 papers · 1 filter

cs.NE2019★ 1 cited

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…

cs.NE2019★ 1 cited

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…

cs.NE2018

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…

cs.NE2017★ 42 cited

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…

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