Utilizing cumulative population distribution information in differential evolution
Differential evolution (DE) is one of the most popular paradigms of evolutionary algorithms.
In general, DE does not exploit distribution information provided by the population and, as a …
In general, DE does not exploit distribution information provided by the population and, as a …
Probability collectives hybridised with differential evolution for global optimisation
Probability collectives (PC) is a recent agent-based search framework for function
optimisation through optimising parameters of a collection of probability distributions …
optimisation through optimising parameters of a collection of probability distributions …
[PDF][PDF] A survey on adaptation strategies for mutation and crossover rates of differential evolution algorithm
DM Dhanalakshmy, P Pranav… - International Journal on …, 2016 - core.ac.uk
Differential Evolution (DE), the well-known optimization algorithm, is a tool under the roof of
Evolutionary Algorithms (EAs) for solving non-linear and non-differential optimization …
Evolutionary Algorithms (EAs) for solving non-linear and non-differential optimization …
[PDF][PDF] A hybrid approach of grammar-based genetic programming and differential evolution for symbolic regression
FAA Motta, HS Bernardino, HJC Barbosa… - Proc. of the Brazilian …, 2017 - cbic2017.org
Genetic Programming (GP) is used for solving many real world problems. From data
classification to building phylogenetic trees, the technique can be applied to almost any …
classification to building phylogenetic trees, the technique can be applied to almost any …
Hybridized Probability Collectives: A Multi-Agent Approach for Global Optimization
Z Xu - 2016 - i-rep.emu.edu.tr
Probability Collectives (PC) employ multiple agents to distribute sampling moves through
using probability distributions over a solution space. This multi-agent systems (MAS) affords …
using probability distributions over a solution space. This multi-agent systems (MAS) affords …