On Evolving Robust Strategies for Iterated Prisoner's Dilemma. - Paul J. Darwen; Xin Yao 001 (Evo Workshops, 1994)

An Experimental Study of N-Person Iterated Prisoner's Dilemma Games. - Xin Yao 001; Paul J. Darwen (Informatica (Slovenia), 1994)

Automatic Modularization by Speciation. - Paul J. Darwen; Xin Yao 001 (International Conference on Evolutionary Computation, 1996)

Every Niching Method has its Niche: Fitness Sharing and Implicit Sharing Compared. - Paul J. Darwen; Xin Yao 001 (PPSN, 1996)

Speciation as automatic categorical modularization. - Paul J. Darwen; Xin Yao 001 (IEEE Trans. Evol. Comput., 1997)

Co-evolutionary learning on noisy tasks. - Paul J. Darwen; Jordan B. Pollack (CEC, 1999)

Unobtrusive Workstation Farming Without Inconveniencing Owners: Learning Backgammon with a Genetic Algorithm. - Paul J. Darwen (IWCC, 1999)

Computationally intensive and noisy tasks: co-evolutionary learning and temporal difference learning on Backgammon. - Paul J. Darwen (CEC, 2000)

Why co-evolution beats temporal difference learning at Backgammon for a linear architecture, but not a non-linear architecture. - Paul J. Darwen (CEC, 2001)

Why more choices cause less cooperation in iterated prisoner's dilemma. - Paul J. Darwen; Xin Yao 001 (CEC, 2001)

Search landscape of a realistic single-machine scheduling task: peaks with big differences. - Paul J. Darwen (IEEE Congress on Evolutionary Computation, 2002)

Evolving a Schedule with Batching, Precedence Constraints, and Sequence-Dependent Setup Times: Crossover Needs Building Blocks. - Paul J. Darwen (IEA/AIE, 2002)

Co-Evolution in Iterated Prisoner's Dilemma with Intermediate Levels of Cooperation: Application to Missile Defense. - Paul J. Darwen; Xin Yao 001 (Int. J. Comput. Intell. Appl., 2002)

The long tail in Bayesian optimal control in uncertain environments. - Paul J. Darwen (NaBIC, 2010)

Conformational searching using a population-based incremental learning algorithm. - Stephen M. Long; Tran Trung Tran; Peter Adams 001; Paul J. Darwen; Mark L. Smythe (J. Comput. Chem., 2011)

Dam Management with Imperfect Models: Bayesian Model Averaging with and Neural Network Control. - Paul J. Darwen (ICIC (3), 2012)

Two levels of Bayesian model averaging for optimal control of stochastic systems. - Paul J. Darwen (Int. J. Syst. Sci., 2013)

Bayesian Model Averaging for Streamflow Prediction of Intermittent Rivers. - Paul J. Darwen (IEA/AIE (2), 2017)

The Varying Success of Bayesian Model Averaging: An Empirical Study of Flood Prediction. - Paul J. Darwen (SSCI, 2018)

Cost-Effective Prediction in Medicine and Marketing: Only the Difference Between Bayesian Model Averaging and the Single Best-Fit Model. - Paul J. Darwen (ICTAI, 2019)

Bayesian model averaging for river flow prediction. - Paul J. Darwen (Appl. Intell., 2019)

Direction of the Difference Between Bayesian Model Averaging and the Best-Fit Model on Scarce-Data Low-Correlation Churn Prediction. - Paul J. Darwen (ACIIDS (1), 2023)