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01  Introduction to Optimization with Multiple Objectives
00:12:25
02  Approaches to Solving Multi-Objective Optimization Problems
00:11:32
03  Example - Multi-Objective Problem, Mathematical Model, and Excel Model
00:08:43
04  Example - Optimizing Individual Objectives and the Utopia Point
00:07:39
05  Example - Solving Multi-Objective Problems Using Weighted Sum Approach
00:18:28
06  Example - Solving Multi-Objective Problems by Converting One Objective to Constraint
00:16:30
08  Example - Solving Multi-Objective Problems Using Goal Programming Approach
00:21:49
07  Example - Solving Multi-Objective Problems Using Minimax Approach
00:18:15
09  Example - Summary
00:07:05
10  Comparison of Multi-Objective Approaches
00:08:25
11  Optional Material: Aspiration/Reservation-Based Decision Support System
00:04:46
Ch06 11 MILP   Fixed Cost Problem   Excel Model
00:10:06
Ch06 10 MILP   Fixed Cost Problem   Mathematical Model
00:19:20
Ch06 09 MILP   Project Selection   Excel Model with Logical Constraints
00:07:29
Ch06 08 MILP   Project Selection   Excel Model
00:07:21
Ch06 07 MILP   Project Selection   Logical Constraints   Advanced
00:06:46
Ch06 06 MILP   Project Selection   Logical Constraints   Simple
00:09:53
Ch06 05 MILP   Project Selection   Mathematical Model
00:06:57
19. Capital Budgeting - Other functions of @RISK
00:02:48
18. Capital Budgeting - Considering additional uncertain inputs
00:03:21
17. Capital Budgeting - Simulating multiple scenarios
00:02:06
16. Capital Budgeting - Discussion
00:02:07
15. Capital Budgeting - Further evaluation
00:04:42
14. Capital Budgeting - Simulation and evaluation
00:08:15
13. Capital Budgeting - Generating random demands
00:03:08
12. Capital Budgeting - Introduction and the deterministic model
00:03:12
11. Coin Flipping Game - Probability of Winning
00:04:22
10. Coin Flipping Game - Simulating 20000 iterations
00:02:34
09. Coin Flipping Game - Simulating 1000 iterations again
00:01:42
08. Coin Flipping Game - Simulating 1000 iterations and evaluating the game
00:05:23