An integer linear programming approach to the single and bi-objective next release problem N Veerapen, G Ochoa, M Harman, EK Burke Information and Software Technology 65, 1-13, 2015 | 79 | 2015 |
Mapping the global structure of TSP fitness landscapes G Ochoa, N Veerapen Journal of Heuristics 24 (3), 265-294, 2018 | 69 | 2018 |
Deconstructing the big valley search space hypothesis G Ochoa, N Veerapen Evolutionary Computation in Combinatorial Optimization: 16th European …, 2016 | 61 | 2016 |
Understanding phase transitions with local optima networks: number partitioning as a case study G Ochoa, N Veerapen, F Daolio, M Tomassini Evolutionary Computation in Combinatorial Optimization: 17th European …, 2017 | 60 | 2017 |
Object-oriented genetic improvement for improved energy consumption in Google Guava N Burles, E Bowles, AEI Brownlee, ZA Kocsis, J Swan, N Veerapen Search-Based Software Engineering: 7th International Symposium, SSBSE 2015 …, 2015 | 34 | 2015 |
The Multi-Funnel Structure of TSP Fitness Landscapes: A Visual Exploration G Ochoa, N Veerapen, D Whitley, EK Burke Artificial Evolution: 12th International Conference, Evolution Artificielle …, 2016 | 31 | 2016 |
Visualising the search landscape of the triangle program WB Langdon, N Veerapen, G Ochoa Genetic Programming: 20th European Conference, EuroGP 2017, Amsterdam, The …, 2017 | 29 | 2017 |
Additional Dimensions to the Study of Funnels in Combinatorial Landscapes G Ochoa, N Veerapen The 2016 Genetic and Evolutionary Computation Conference (GECCO 2016), 2016 | 25 | 2016 |
Local optima networks of the permutation flowshop scheduling problem: Makespan vs. total flow time L Hernando, F Daolio, N Veerapen, G Ochoa 2017 IEEE Congress on Evolutionary Computation (CEC), 1964-1971, 2017 | 23 | 2017 |
Visualising the global structure of search landscapes: genetic improvement as a case study N Veerapen, G Ochoa Genetic programming and evolvable machines 19 (3), 317-349, 2018 | 22 | 2018 |
Modelling genetic improvement landscapes with local optima networks N Veerapen, F Daolio, G Ochoa Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 21 | 2017 |
Tunnelling crossover networks for the asymmetric TSP N Veerapen, G Ochoa, R Tinós, D Whitley Parallel Problem Solving from Nature–PPSN XIV: 14th International Conference …, 2016 | 20 | 2016 |
An exploration-exploitation compromise-based adaptive operator selection for local search N Veerapen, J Maturana, F Saubion Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012 | 20 | 2012 |
Inferring future landscapes: sampling the local optima level SL Thomson, G Ochoa, S Verel, N Veerapen Evolutionary computation 28 (4), 621-641, 2020 | 17 | 2020 |
Neural architecture search: A visual analysis G Ochoa, N Veerapen International Conference on Parallel Problem Solving from Nature, 603-615, 2022 | 15 | 2022 |
Rigorous performance analysis of state-of-the-art tsp heuristic solvers P McMenemy, N Veerapen, J Adair, G Ochoa European Conference on Evolutionary Computation in Combinatorial …, 2019 | 15 | 2019 |
How perturbation strength shapes the global structure of tsp fitness landscapes P McMenemy, N Veerapen, G Ochoa European Conference on Evolutionary Computation in Combinatorial …, 2018 | 14 | 2018 |
Embedded dynamic improvement N Burles, J Swan, E Bowles, AEI Brownlee, ZA Kocsis, N Veerapen Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 12 | 2015 |
On the fractal nature of local optima networks SL Thomson, S Verel, G Ochoa, N Veerapen, P McMenemy European Conference on Evolutionary Computation in Combinatorial …, 2018 | 11 | 2018 |
The effect of landscape funnels in QAPLIB instances SL Thomson, G Ochoa, F Daolio, N Veerapen Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 10 | 2017 |