Reading series

Better Algorithms

Explore why strong solvers combine methods, adapt to instances and decide where to spend another second of computation.

For developers

Chapters, in reading order

01
The future of optimization is a team of algorithms
Different problems reward different kinds of intelligence. Modern solvers increasingly put those differences to work.
02
How an Adaptive Optimizer Decides Where to Search
Better optimization is sometimes less about one brilliant method than about deciding which method deserves the next second of computation.
03
The optimizer that chooses how to optimize
Modern solvers make decisions about their own search. Increasingly, those decisions can be learned.
04
What is another second of search worth?
An optimization algorithm can keep finding better answers. The interesting question is when another second changes the decision.
05
Can AI Help Design Better Optimization Algorithms?
One optimization problem is finding a good solution. Another is finding a better way to search.
06
A Better Algorithm Can Change the Decision, Not Just the Calculation
Two algorithms can solve the same model and still leave an organization with very different decisions to choose from.