Optimal Finite State Discrimination Procedures. - K. I. M. McKinnon (1975)

Architectural Mechanisms to Support Sparse Vector Processing. - Roland N. Ibbett; T. M. Hopkins; K. I. M. McKinnon (ISCA, 1989)

Performance Issues for the Iterative Solution of Markov Decision Processes on Parallel Computers. - Thomas W. Archibald; K. I. M. McKinnon; Lyn C. Thomas (INFORMS J. Comput., 1995)

PARSMI, a Parallel Revised Simplex Algorithm Incorporating Minor Iterations and Devex Pricing. - J. A. J. Hall; K. I. M. McKinnon (PARA, 1996)

ASYNPLEX, an asynchronous parallelrevised simplex algorithm. - J. A. J. Hall; K. I. M. McKinnon (Ann. Oper. Res., 1998)

A Generic Global Optimization Algorithm for the Chemical and Phase Equilibrium Problem. - Ken McKinnon; Marcel Mongeau (J. Glob. Optim., 1998)

Convergence of the Nelder-Mead Simplex Method to a Nonstationary Point. - K. I. M. McKinnon (SIAM J. Optim., 1998)

A parallel algorithm for the global minimizationof Gibbs free energy. - S. Berner; K. I. M. McKinnon; C. Millar (Ann. Oper. Res., 1999)

Nested Benders decomposition and dynamic programming for reservoir optimisation. - Thomas W. Archibald; C. S. Buchanan; K. I. M. McKinnon; Lyn C. Thomas (J. Oper. Res. Soc., 1999)

Dynamic programming using the Fritz-John conditions. - Erich Steiner 002; Ken McKinnon (Eur. J. Oper. Res., 2000)

The Recursive Definition of Stochastic Linear Programming Problems within an Algebraic Modeling Language. - C. S. Buchanan; K. I. M. McKinnon; G. K. Skondras (Ann. Oper. Res., 2001)

Controlling multi-reservoir systems. - Thomas W. Archibald; C. S. Buchanan; Lyn C. Thomas; K. I. M. McKinnon (Eur. J. Oper. Res., 2001)

A convexification method for a class of global optimization problems with applications to reliability optimization. - Xiaoling Sun 001; K. I. M. McKinnon; Duan Li 002 (J. Glob. Optim., 2001)

The simplest examples where the simplex method cycles and conditions where expand fails to prevent cycling. - J. A. J. Hall; K. I. M. McKinnon (Math. Program., 2004)

An Exact Solution Method for Reliability Optimization in Complex Systems. - Duan Li 002; Xiaoling Sun 001; Ken McKinnon (Ann. Oper. Res., 2005)

Hyper-Sparsity in the Revised Simplex Method and How to Exploit it. - J. A. J. Hall; K. I. M. McKinnon (Comput. Optim. Appl., 2005)

On Saddle Points of Augmented Lagrangians for Constrained Nonconvex Optimization. - Xiaoling Sun 001; Duan Li 002; K. I. M. McKinnon (SIAM J. Optim., 2005)

COAP 2005 Best Paper Award. - J. A. Julian Hall; Ken McKinnon (Comput. Optim. Appl., 2006)

Convergent Lagrangian and domain cut method for nonlinear knapsack problems. - Duan Li 002; Xiaoling Sun 001; J. Wang; K. I. M. McKinnon (Comput. Optim. Appl., 2009)

Oil production optimization solved by piecewise linearization in a Branch & Price framework. - Vidar Gunnerud; Bjarne A. Foss; K. I. M. McKinnon; Bjørn Nygreen (Comput. Oper. Res., 2012)

Optimization-based Islanding of Power Networks using Piecewise Linear AC Power Flow. - Paul A. Trodden; Waqquas A. Bukhsh; Andreas Grothey; K. I. M. McKinnon (CoRR, 2013)

Solving Stochastic Ship Fleet Routing Problems with Inventory Management Using Branch and Price. - Ken McKinnon; Yu Yu (Advances in Stochastic and Deterministic Global Optimization, 2016)

A stabilised scenario decomposition algorithm applied to stochastic unit commitment problems. - Tim Schulze; Andreas Grothey; Ken McKinnon (Eur. J. Oper. Res., 2017)

Benders decomposition with adaptive oracles for large scale optimization. - Nicolò Mazzi; Andreas Grothey; Ken McKinnon; Nagisa Sugishita (Math. Program. Comput., 2021)

On the effectiveness of sequential linear programming for the pooling problem. - Andreas Grothey; Ken McKinnon (Ann. Oper. Res., 2023)

A stabilised Benders decomposition with adaptive oracles for large-scale stochastic programming with short-term and long-term uncertainty. - Hongyu Zhang; Nicolò Mazzi; Ken McKinnon; Rodrigo Garcia Nava; Asgeir Tomasgard (Comput. Oper. Res., 2024)

Use of Machine Learning Models to Warmstart Column Generation for Unit Commitment. - Nagisa Sugishita; Andreas Grothey; Ken McKinnon (INFORMS J. Comput., 2024)

Integrated investment, retrofit and abandonment energy system planning with multi-timescale uncertainty using stabilised adaptive Benders decomposition. - Hongyu Zhang; Ignacio E. Grossmann; Ken McKinnon; Brage Rugstad Knudsen; Rodrigo Garcia Nava; Asgeir Tomasgard (Eur. J. Oper. Res., 2025)

Adaptive Benders decomposition and enhanced SDDP for multistage stochastic programs with block-separable multistage recourse. - Nicolò Mazzi; Ken McKinnon; Hongyu Zhang (CoRR, 2025)