70 citations · 95 across the 12 of their papers we have counts for
4 papers · 1 filter
Escaping Local Optima using Crossover with Emergent or Reinforced Diversity
Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing +5
Population diversity is essential for avoiding premature convergence in Genetic Algorithms (GAs) and for the effective use of crossover. Yet the dynamics of how diversity emerges i…
Populations can be essential in tracking dynamic optima
Duc-Cuong Dang, Thomas Jansen, Per Kristian Lehre
Real-world optimisation problems are often dynamic. Previously good solutions must be updated or replaced due to changes in objectives and constraints. It is often claimed that evo…
Self-adaptation of Mutation Rates in Non-elitist Populations
Duc-Cuong Dang, Per Kristian Lehre
The runtime of evolutionary algorithms (EAs) depends critically on their parameter settings, which are often problem-specific. Automated schemes for parameter tuning have been deve…
Solving the Team Orienteering Problem with Cutting Planes
Racha El-Hajj, Duc-Cuong Dang, Aziz Moukrim
The Team Orienteering Problem (TOP) is an attractive variant of the Vehicle Routing Problem (VRP). The aim is to select customers and at the same time organize the visits for a veh…