Added Optimization Algorithms
diff --git a/books.md b/books.md
index a9b9eb43..cab2362d 100644
--- a/books.md
+++ b/books.md
@@ -65,7 +65,8 @@ The following is a list of free and/or open source books on machine learning, st
 - [Managing Machine Learning Projects: From design to deployment](https://www.manning.com/books/managing-machine-learning-projects) - Simon Thompson
 - [Causal Machine Learning](https://www.manning.com/books/causal-machine-learning) - Robert Ness - Practical introduction to building AI models that can reason about causality.
 - [Bayesian Optimization in Action](https://www.manning.com/books/bayesian-optimization-in-action) - Quan Nguyen - Book about building Bayesian optimization systems from the ground up.
-- - [Machine Learning Algorithms in Depth](https://www.manning.com/books/machine-learning-algorithms-in-depth)) - Vadim Smolyakov - Book about practical implementations of dozens of ML algorithms.
+- [Machine Learning Algorithms in Depth](https://www.manning.com/books/machine-learning-algorithms-in-depth)) - Vadim Smolyakov - Book about practical implementations of dozens of ML algorithms.
+- [Optimization Algorithms](https://www.manning.com/books/optimization-algorithms) - Alaa Khamis - Book about how to solve design, planning, and control problems using modern machine learning and AI techniques.
 
 
 ## Deep Learning

Hi,

Stjepan from Manning here again. This time we have a title on optimization and search algorithms. Thank you for considering it.

Best,