mathematics, the spiral optimization (SPO) algorithm is a metaheuristic inspired by spiral phenomena in nature. The first SPO algorithm was proposed for...

optimizing decision trees for better performance, solving sudoku puzzles, hyperparameter optimization, causal inference, etc. In a genetic algorithm,...

Combinatorial optimization is a subfield of mathematical optimization that consists of finding an optimal object from a finite set of objects, where the...

Bayesian optimization is a sequential design strategy for global optimization of black-box functions that does not assume any functional forms. It is usually...

In mathematical optimization, constrained optimization (in some contexts called constraint optimization) is the process of optimizing an objective function...

based on sets. Artificial bee colony algorithm Bees algorithm Derivative-free optimization Multi-swarm optimization Particle filter Swarm intelligence Fish...

typically requires unreasonably many steps. In mathematical optimization, greedy algorithms optimally solve combinatorial problems having the properties...

multi-dimensional search space. The spiral optimization algorithm, inspired by spiral phenomena in nature, is a multipoint search algorithm that has no objective function...

numerical optimization, the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm is an iterative method for solving unconstrained nonlinear optimization problems...

generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from...