Jun 14, 2023 · Particle Swarm Optimization and Ant Colony Optimization: Not familiar, but these are also just optimization algorithms as far as I know, and don't think they are necessarily only …

Jan 14, 2018 · For example, particle swarm optimization and evolutionary algortithms, both of which are stochastic and simulate behaviour of large populations (in this case, populations of …

May 5, 2019 · @foxell I better edit the question, I am using particle swarm optimization. It is a heuristic-based method without much analytical background. There is no solid evidence that …

Jan 3, 2024 · Metaheuristic Algorithms: Other metaheuristic algorithms like Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), or Differential Evolution may be worth …

Oct 28, 2015 · There are many heuristic methods that you could try for discrete optimization (e.g. simulated annealing, particle swarm, ant colony,etc...). One nice thing about heuristics, is that …

Sep 22, 2019 · That being the case, I’d stay away from algorithms that build quadratic approximations of the objective function. I believe your problem may be tackled by heuristics …

Mar 4, 2019 · If you desperately require the global minimiser, then you have to use derivative-free methods such as Simulated Annealing and Particle Swarm Optimisation. These are more …

optimization numerical-methods lagrange-multiplier numerical-optimization hypergeometric-function See similar questions with these tags.

Apr 10, 2023 · This is kind of an adaptive particle swarm method. More efficient/smarter way when getting stuck: As Jan have mentioned the computation of Hessian, I will give an …

The Schrödinger equation describes the evolution of the wave function of a particle (or system).