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Found 8 papers, 2 papers with code
Two-phase Optimization of Binary Sequences with Low Peak Sidelobe Level Value
To locate better sequences for this problem, we designed a stochastic algorithm that uses two fitness functions.
Two-phase protein folding optimization on a three-dimensional AB off-lattice model
The first phase is responsible for forming conformations with a good hydrophobic core or a set of compact hydrophobic amino acid positions.
Protein Folding Optimization using Differential Evolution Extended with Local Search and Component Reinitialization
The designed evolutionary algorithm has fast convergence speed and, therefore, when it is trapped into the local optimum or a relatively good solution is located, it is hard to locate a better similar solution.
Making up for the deficit in a marathon run
This paper proposes an automatic making up for the deficit by using a Differential Evolution algorithm.
Low-Autocorrelation Binary Sequences: On Improved Merit Factors and Runtime Predictions to Achieve Them
To mitigate the computational constraints of the problem, we consider solvers that accept odd values of sequence length $L$ and return solutions for skew-symmetric binary sequences only -- with the consequence that not all best solutions under this constraint will be optimal for each $L$.
A comprehensive review of firefly algorithms
This paper carries out a comprehensive review of this living and evolving discipline of Swarm Intelligence, in order to show that the firefly algorithm could be applied to every problem arising in practice.
A Brief Review of Nature-Inspired Algorithms for Optimization
Swarm intelligence and bio-inspired algorithms form a hot topic in the developments of new algorithms inspired by nature.
Comparing various regression methods on ensemble strategies in differential evolution
Differential evolution possesses a multitude of various strategies for generating new trial solutions.
