A Python/C++ library for bound-constrained global optimization using a biased random-key genetic algorithm.
Ricardo M. A. SilvaMauricio G. C. ResendePanos M. PardalosPublished in: J. Comb. Optim. (2015)
Keyphrases
- constrained global optimization
- genetic algorithm
- global optimization
- upper bound
- neural network
- messy genetic algorithm
- worst case
- multi objective
- programming language
- fitness function
- initial population
- fuzzy logic
- case study
- open source
- simulated annealing
- particle swarm optimization
- artificial intelligence
- real time
- lower bound
- metaheuristic
- decision trees
- error bounds
- job shop scheduling problem