abstract = "This e-book is devoted to global optimization
algorithms, which are methods to find optimal solutions
for given problems. It especially focuses on
Evolutionary Computation by discussing evolutionary
algorithms, genetic algorithms, Genetic Programming,
Learning Classifier Systems, Evolution Strategy,
Differential Evolution, Particle Swarm Optimization,
and Ant Colony Optimization. It also elaborates on
other metaheuristics like Simulated Annealing, Extremal
Optimization, Tabu Search, and Random Optimization. The
book is no book in the conventional sense: Because of
frequent updates and changes, it is not really intended
for sequential reading but more as some sort of
material collection, encyclopedia, or reference work
where you can look up stuff, find the correct context,
and are provided with fundamentals.",
notes = "Second edition, Self-Published",
size = "864 pages.
See also broken Sep 2024 {"}Optimization Algorithms{"}
https://thomasweise.github.io/oa/en/optimization_algorithms_en.pdf
2023-08-02",