The document summarizes Geoff Pond's work in optimization algorithms, simulation modeling, and teaching. It describes his coding of genetic algorithms, differential evolution algorithms, and vertex swap algorithms for optimization. It also outlines his use of Monte Carlo simulation in VBA and Java to model fleet requirements, vehicle availability, and detection probabilities. Finally, it lists publications and the two undergraduate courses he teaches on management science and operations management.

1. A Sample of My Work
Geoff Pond, Ph.D., P.Eng.

2. Optimisation
The following algorithms have been
coded and applied to maximize
surveillance coverage:
 Genetic Algorithm
 Differential Evolution Algorithm
 Vertex Swap Algorithm

3. Optimisation
Parameter Tuning of Algorithms in MATLAB
730 60
Objective Function Value
725 50
CPU Time (seconds)
720 40
715 30
710 20
705 10
700
1 1
0.8 0.8
100 100
0.6 0.6
0.4 0.4
p 50 p 50
c 0.2 c 0.2
|P| |P|
0 0 0 0

4. Simulation in VBA
Using failure data, organizational structure, and
expected organizational requirements (in terms of
training and operations), predict the fleet size
requirements of the future Army.
Proposed
structure of a
future Canadian
Mechanized
Brigade Group

5. Simulation in VBA
A Monte Carlo simulation coded in VBA determines
fleet deficiencies based on user-supplied fleet
composition.
The simulation automatically colour-codes cells according to a
user-defined key.

6. Simulation in VBA
The Monte Carlo nature of the program illustrates the
variability in the results across an extended period of
time.
Unsourced
500 Op Replacements
Sourced From Other Areas
450 Sourced From Within LMA
Sourced From Primary Unit
400
350
Number of Vehicles
300
250
200
150
100
50
0
TF 1-15 TF 1-16 TF 3-16 TF 1-17 TF 1-18 TF 3-18 TF 1-19 TF 1-20 TF 3-20 TF 1-21 TF 1-22
Task Force (TF)

7. Simulation in VBA
Different scenarios may be tested to determine the
limitations of projected capabilities.
Unsourced
Unsourced
Op Replacements
500 MRTF 500
Sourced From Other Areas Sourced From Other Areas
450 Sourced From Within LMA 450 Sourced From Within LMA
Sourced From Primary Unit 400 Sourced From Primary Unit
400
350
Number of Vehicles
350
Number of Vehicles
300 300
250 250
200 200
150 150
100 100
50 50
0 0
TF 1-16 TF 3-16 TF 1-17 TF 1-18 TF 3-18 TF 1-19 TF 1-20 TF 3-20 TF 1-21 TF 1-22 TF 1-15 TF 1-16 TF 3-16 TF 1-17 TF 1-18 TF 3-18 TF 1-19 TF 1-20 TF 3-20 TF 1-21 TF 1-22
Task Force (TF)
Task Force LFWA
(TF)
Unsourced 180
120
Sourced From Other Areas 160
Sourced From Within LMA Tasked
100 140
Sourced From Primary Unit
Number of Vehicles Available
Number of Vehicles
120
80
100
60
80
40 60
40
20
20
0 0
TF 1-16 TF 3-16 TF 1-17 TF 1-18 TF 3-18 TF 1-19 TF 1-20 TF 3-20 TF 1-21 TF 1-22 CCV LAV III BISON TAPV TANKS TLAV
Task Force (TF)
Vehicle Family

8. Simulation in Java
This project leverages extensive physics models and
integrates them into a single Monte Carlo simulation using
Java. Development is on-going. The simulation will be
closed-loop and include the following modules:
• Unaided Visual Detection Algorithm
• Aided Visual Detection (image intensification, infrared,
magnification)
• Detection by Radar
• Probability of Hit
• Probability of Kill

9. Simulation in Java

10. Publications
My work has been published in the following journals:
• Meccanica
• OR Insight
• Robotics and Computer-Integrated Manufacturing
• Mechanism and Machine Theory
I have also published numerous reports internal to the Department of
National Defence, conference papers, and book chapters.

11. Teaching
I teach two courses at the undergraduate level on a recurring basis:
Introduction to Management Science
Topics Include optimization using linear programming, project
management, inventory theory, decision theory, multicriteria decision
analysis, and forecasting.
Operations Management
Topics include quality control, queuing theory, location planning, line
balancing, and reliability.

12. Contact
I can be reached by email: geoffpond@gmail.com