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20192021
most citedCan Bio-Inspired Swarm Algorithms Scale to Modern Societal Problems

1 citations · 3 across the 5 of their papers we have counts for

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cs.NE2021

An Efficient Multi-objective Evolutionary Approach for Solving the Operation of Multi-Reservoir System Scheduling in Hydro-Power Plants

C. G. Marcelino, G. M. C. Leite, C. A. D. M Delgado +4

This paper tackles the short-term hydro-power unit commitment problem in a multi-reservoir system - a cascade-based operation scenario. For this, we propose a new mathematical mode…

cs.NE2020

Analyzing Dominance Move (MIP-DoM) Indicator for Multi- and Many-objective Optimization

Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner +1

Dominance move (DoM) is a binary quality indicator that can be used in multi-objective and many-objective optimization to compare two solution sets obtained from different algorith…

cs.NE2020

An Assignment Problem Formulation for Dominance Move Indicator

Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth F. Wanner

Dominance move (DoM) is a binary quality indicator to compare solution sets in multiobjective optimization. The indicator allows a more natural and intuitive relation when comparin…

cs.NE20191 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.NE20191 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…