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Professor John McCall


Generating easy and hard problems using the proximate optimality principle. [Dataset] (2015)
Dataset
MCCALL, J.A.W., CHRISTIE, L.A. and BROWNLEE, A.E.I. 2015. Generating easy and hard problems using the proximate optimality principle. [Dataset]

These data were gathered to investigate the hypothesis that coherent functions will be easy and anti-coherent functions will be hard for a hillclimber. We generated 10 coherent functions for each length on bit-strings of length 6-100 and the same num... Read More about Generating easy and hard problems using the proximate optimality principle. [Dataset].

Generating easy and hard problems using the proximate optimality principle. (2015)
Conference Proceeding
MCCALL, J.A.W., CHRISTIE, L.A. and BROWNLEE, A.E.I. 2015. Generating easy and hard problems using the proximate optimality principle. In Silva, S. (ed.) Proceedings of the companion publication of the 2015 annual conference on genetic and evolutionary computation (GECCO Companion '15), 11-15 July 2015, Madrid, Spain. New York: ACM [online], pages 767-768. Available from: https://doi.org/10.1145/2739482.2764890

We present an approach to generating problems of variable difficulty based on the well-known Proximate Optimality Principle (POP), often paraphrased as similar solutions have similar fitness. We explore definitions of this concept in terms of metrics... Read More about Generating easy and hard problems using the proximate optimality principle..

Autonomic behavioural framework for structural parallelism over heterogeneous multi-core systems. (2015)
Thesis
GOLI, M. 2015. Autonomic behavioural framework for structural parallelism over heterogeneous multi-core systems. Robert Gordon University, PhD thesis.

With the continuous advancement in hardware technologies, significant research has been devoted to design and develop high-level parallel programming models that allow programmers to exploit the latest developments in heterogeneous multi-core/many-co... Read More about Autonomic behavioural framework for structural parallelism over heterogeneous multi-core systems..

Adaptive heterogeneous parallelism for semi-empirical lattice dynamics in computational materials science. (2015)
Thesis
GARBA, M. 2015. Adaptive heterogeneous parallelism for semi-empirical lattice dynamics in computational materials science. Robert Gordon University, PhD thesis.

With the variability in performance of the multitude of parallel environments available today, the conceptual overhead created by the need to anticipate runtime information to make design-time decisions has become overwhelming. Performance-critical a... Read More about Adaptive heterogeneous parallelism for semi-empirical lattice dynamics in computational materials science..

Structural coherence of problem and algorithm: an analysis for EDAs on all 2-bit and 3-bit problems. (2015)
Conference Proceeding
BROWNLEE, A.E.I., MCCALL, J.A.W. and CHRISTIE, L.A. 2015. Structural coherence of problem and algorithm: an analysis for EDAs on all 2-bit and 3-bit problems. In Proceedings of the 2015 IEEE congress on evolutionary computation (CEC 2015), 25-28 May 2015, Sendai, Japan. Piscataway, NJ: IEEE [online], pages 2066-2073. Available from: https://doi.org/10.1109/CEC.2015.7257139

Metaheuristics assume some kind of coherence between decision and objective spaces. Estimation of Distribution algorithms approach this by constructing an explicit probabilistic model of high fitness solutions, the structure of which is intended to r... Read More about Structural coherence of problem and algorithm: an analysis for EDAs on all 2-bit and 3-bit problems..

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