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Professor John McCall


RK-EDA: a novel random key based estimation of distribution algorithm. (2016)
Conference Proceeding
AYODELE, M., MCCALL, J. and REGNIER-COUDERT, O. 2016. RK-EDA: a novel random key based estimation of distribution algorithm. In Handl, J., Hart, E., Lewis, P.R., López-Ibáñez, M., Ochoa, G. and Paechter, B. (eds.) Parallel problem solving from natuture: proceedings of the 14th International parallel problem solving from nature conference (PPSN XIV), 17-21 September 2016, Edinburgh, UK. Lecture notes in computer science, 9921. Cham: Springer [online], pages 849-858. Available from: https://doi.org/10.1007/978-3-319-45823-6_79

The challenges of solving problems naturally represented as permutations by Estimation of Distribution Algorithms (EDAs) have been a recent focus of interest in the evolutionary computation community. One of the most common alternative representation... Read More about RK-EDA: a novel random key based estimation of distribution algorithm..

Predictive planning with neural networks. (2016)
Conference Proceeding
AINSLIE, R., MCCALL, J., SHAKYA, S. and OWUSU, G. 2016. Predictive planning with neural networks. In Proceedings of the International joint conference on neural networks (IJCNN), 24-29 July 2016, Vancouver, Canada. Piscataway: IEEE [online], pages 2110-2117. Available from: https://doi.org/10.1109/IJCNN.2016.7727460

Critical for successful operations of service industries, such as telecoms, utility companies and logistic companies, is the service chain planning process. This involves optimizing resources against expected demand to maximize the utilization and mi... Read More about Predictive planning with neural networks..

BPGA-EDA for the multi-mode resource constrained project scheduling problem. (2016)
Conference Proceeding
AYODELE, M., MCCALL, J. and REGNIER-COUDERT, O. 2016. BPGA-EDA for the multi-mode resource constrained project scheduling problem. In Proceedings of the 2016 IEEE congress on evolutionary computation (CEC 2016), 24-29 July 2016, Vancouver, Canada. Piscataway, NJ: IEEE [online], article number 7744222, pages 3417-3424. Available from: https://doi.org/10.1109/CEC.2016.7744222

The Multi-mode Resource Constrained Project Scheduling Problem (MRCPSP) has been of research interest for over two decades. The problem is composed of two interacting sub problems: mode assignment and activity scheduling. These problems cannot be sol... Read More about BPGA-EDA for the multi-mode resource constrained project scheduling problem..

Truck and trailer scheduling in a real world, dynamic and heterogeneous context. (2016)
Journal Article
REGNIER-COUDERT, O., MCCALL, J., AYODELE, M. and ANDERSON, S. 2016. Truck and trailer scheduling in a real world, dynamic and heterogeneous context. Transportation research, part E: logistics and transportation review [online], 93, pages 389-408. Available from: https://doi.org/10.1016/j.tre.2016.06.010

We present a new variant of the Vehicle Routing Problem based on a real industrial scenario. This VRP is dynamic and heavily constrained and uses time-windows, a heterogeneous vehicle fleet and multiple types of job. A constructive solver is develope... Read More about Truck and trailer scheduling in a real world, dynamic and heterogeneous context..

The role of Walsh structure and ordinal linkage in the optimisation of pseudo-Boolean functions under monotonicity invariance. (2016)
Thesis
CHRISTIE, L.A. 2016. The role of Walsh structure and ordinal linkage in the optimisation of pseudo-Boolean functions under monotonicity invariance. Robert Gordon University, PhD thesis.

Optimisation heuristics rely on implicit or explicit assumptions about the structure of the black-box fitness function they optimise. A review of the literature shows that understanding of structure and linkage is helpful to the design and analysis o... Read More about The role of Walsh structure and ordinal linkage in the optimisation of pseudo-Boolean functions under monotonicity invariance..

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