Chris Lokan

Abu S. S. M. Barkat Ullah, Ruhul A. Sarker, Chris Lokan: Handling equality constraints in evolutionary optimization. European Journal of Operational Research 221(3): 480-490 (2012)

Chris Lokan, Emilia Mendes: Investigating the Use of Duration-Based Moving Windows to Improve Software Effort Prediction. APSEC 2012: 818-827

Sameer Alam, Chris Lokan, Hussein A. Abbass: What can make an airspace unsafe? characterizing collision risk using multi-objective optimization. IEEE Congress on Evolutionary Computation 2012: 1-8

Jiangjun Tang, Sameer Alam, Chris Lokan, Hussein A. Abbass: A multi-objective evolutionary method for Dynamic Airspace Re-sectorization using sectors clipping and similarities. IEEE Congress on Evolutionary Computation 2012: 1-8

Sousuke Amasaki, Chris Lokan: The Effects of Moving Windows to Software Estimation: Comparative Study on Linear Regression and Estimation by Analogy. IWSM/Mensura 2012: 23-32

Abu S. S. M. Barkat Ullah, Ruhul A. Sarker, Chris Lokan: Handling equality constraints with agent-based memetic algorithms. Memetic Computing 3(1): 51-72 (2011)

Viet Van Pham, Jiangjun Tang, Sameer Alam, Chris Lokan, Hussein A. Abbass: Aviation emission inventory development and analysis. Environmental Modelling and Software 25(12): 1738-1753 (2010)

Shir Li Wang, Kamran Shafi, Chris Lokan, Hussein A. Abbass: Adversarial learning: the impact of statistical sample selection techniques on neural ensembles. Evolving Systems 1(3): 181-197 (2010)

Md. Murad Hossain, Hussein A. Abbass, Chris Lokan, Sameer Alam: Adversarial Evolution: Phase transition in non-uniform hard satisfiability problems. IEEE Congress on Evolutionary Computation 2010: 1-8

Viet Van Pham, Lam Thu Bui, Sameer Alam, Chris Lokan, Hussein A. Abbass: A Pittsburgh Multi-Objective Classifier for user preferred trajectories and flight navigation. IEEE Congress on Evolutionary Computation 2010: 1-8

Shir Li Wang, Kamran Shafi, Chris Lokan, Hussein A. Abbass: Robustness of neural ensembles against targeted and random Adversarial Learning. FUZZ-IEEE 2010: 1-8

Chris Lokan, Emilia Mendes: Investigating the use of chronological split for software effort estimation. IET Software 3(5): 422-434 (2009)

Abu S. S. M. Barkat Ullah, Ruhul A. Sarker, David Cornforth, Chris Lokan: AMA: a new approach for solving constrained real-valued optimization problems. Soft Comput. 13(8-9): 741-762 (2009)

Pornthep Rojanavasu, Hai Huong Dam, Hussein A. Abbass, Chris Lokan, Ouen Pinngern: A Self-Organized, Distributed, and Adaptive Rule-Based Induction System. IEEE Transactions on Neural Networks 20(3): 446-459 (2009)

Chris Lokan, Emilia Mendes: Using Chronological Splitting to Compare Cross- and Single-company Effort Models: Further Investigation. ACSC 2009: 35-42

Abu Saleh Shah Muhammad Barkat Ullah, Ruhul A. Sarker, Chris Lokan: An Agent-based Memetic Algorithm (AMA) for nonlinear optimization with equality constraints. IEEE Congress on Evolutionary Computation 2009: 70-77

Sameer Alam, Jianjang Tang, Hussein A. Abbass, Chris Lokan: The effect of symmetry in representation on scenario-based risk assessment for air-traffic conflict resolution strategies. IEEE Congress on Evolutionary Computation 2009: 2180-2187

Chris Lokan, Emilia Mendes: Applying moving windows to software effort estimation. ESEM 2009: 111-122

Jiangjun Tang, Sameer Alam, Hussein A. Abbass, Chris Lokan: Modelling and evolutionary multi-objective evaluation of interdependencies and work processes in airport operations. GEC Summit 2009: 977-984

Mohd Fadzli Marhusin, Chris Lokan, Henry Larkin, David Cornforth: A Data Mining Approach for Detection of Self-Propagating Worms. NSS 2009: 24-29

Emilia Mendes, Chris Lokan: Replicating studies on cross- vs single-company effort models using the ISBSG Database. Empirical Software Engineering 13(1): 3-37 (2008)

Hai Huong Dam, Hussein A. Abbass, Chris Lokan, Xin Yao: Neural-Based Learning Classifier Systems. IEEE Trans. Knowl. Data Eng. 20(1): 26-39 (2008)

Mohd Fadzli Marhusin, Henry Larkin, Chris Lokan, David Cornforth: An Evaluation of API Calls Hooking Performance. CIS (1) 2008: 315-319

Hai Huong Dam, Pornthep Rojanavasu, Hussein A. Abbass, Chris Lokan: Distributed Learning Classifier Systems. Learning Classifier Systems in Data Mining 2008: 69-91

Abu S. S. M. Barkat Ullah, Ruhul A. Sarker, David Cornforth, Chris Lokan: An agent-based memetic algorithm (AMA) for solving constrained optimazation problems. IEEE Congress on Evolutionary Computation 2007: 999-1006

Hai Huong Dam, Chris Lokan, Hussein A. Abbass: Evolutionary Online Data Mining: An Investigation in a Dynamic Environment. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 153-178

Chris Lokan, Emilia Mendes: Cross-company and single-company effort models using the ISBSG database: a further replicated study. ISESE 2006: 75-84

Hai Huong Dam, Hussein A. Abbass, Chris Lokan: The performance of the DXCS system on continuous-valued inputs in stationary and dynamic environments. Congress on Evolutionary Computation 2005: 618-625

Hai Huong Dam, Hussein A. Abbass, Chris Lokan: Be real! XCS with continuous-valued inputs. GECCO Workshops 2005: 85-87

Hai Huong Dam, Hussein A. Abbass, Chris Lokan: DXCS: an XCS system for distributed data mining. GECCO 2005: 1883-1890

Chris Lokan: What Should You Optimize When Building an Estimation Model?. IEEE METRICS 2005: 34

Emilia Mendes, Chris Lokan, Robert Harrison, Chris Triggs: A Replicated Comparison of Cross-Company and Within-Company Effort Estimation Models Using the ISBSG Database. IEEE METRICS 2005: 36