label: url

en: Hierarchical Chaotic Wingsuit Flying Search Algorithm with Balanced Exploitation and Exploration for Optimization

en: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences


en: A Multi-Local Search-Based SHADE for Wind Farm Layout Optimization

en: Electronics

ja: Electronics


en: Population interaction network in representative gravitational search algorithms: Logistic distribution leads to worse performance

en: In this paper, a novel study on the way inter-individual information interacts in meta-heuristic algorithms (MHAs) is carried out using a scheme known as population interaction networks (PIN). Specifically, three representative MHAs, including the differential evolutionary algorithm (DE), the particle swarm optimization algorithm (PSO), the gravitational search algorithm (GSA), and four classical variations of the gravitational search algorithm, are analyzed in terms of inter-individual information interactions and the differences in the performance of each of the algorithms on IEEE Congress on Evolutionary Computation 2017 benchmark functions. The cumulative distribution function (CDF) of the node degree obtained by the algorithm on the benchmark function is fitted to the seven distribution models by using PIN. The results show that among the seven compared algorithms, the more powerful DE is more skewed towards the Poisson distribution, and the weaker PSO, GSA, and GSA variants are more skewed towards the Logistic distribution. The more deviation from Logistic distribution GSA variants conform, the stronger their performance. From the point of view of the CDF, deviating from the Logistic distribution facilitates the improvement of the GSA. Our findings suggest that the population interaction network is a powerful tool for characterizing and comparing the performance of different MHAs in a more comprehensive and meaningful way.

en: Heliyon

ja: Heliyon


en: Triple-layered chaotic differential evolution algorithm for layout optimization of offshore wave energy converters

en: Expert Systems with Applications

ja: Expert Systems with Applications


en: An evolutionary swarm intelligence optimizer based on probabilistic distribution

en: Neural Computing & Applications

ja: Neural Computing & Applications


en: A Hyperparameter Self-Evolving SHADE-Based Dendritic Neuron Model for Classification

en: Axioms

ja: Axioms


en: An improved spherical evolution with enhanced exploration capabilities to address wind farm layout optimization problem

en: Engineering Applications of Artificial Intelligence


en: Dynamic Complex Network, Exploring Differential Evolution Algorithms from Another Perspective

en: Mathematics

ja: Mathematics


en: A chaotic local search-based LSHADE with enhanced memory storage mechanism for wind farm layout optimization

en: Applied Soft Computing

ja: Applied Soft Computing


en: Swarm Exploration Mechanism-Based Distributed Water Wave Optimization

en: International Journal of Computational Intelligence Systems


en: A Chaotic Local Search-Based Particle Swarm Optimizer for Large-Scale Complex Wind Farm Layout Optimization

en: IEEE/CAA Journal of Automatica Sinica

ja: IEEE/CAA Journal of Automatica Sinica


en: Yet Another Effective Dendritic Neuron Model Based on the Activity of Excitation and Inhibition

en: <jats:p>Neuronal models have remained an important area of research in computer science. The dendritic neuron model (DNM) is a novel neuronal model in recent years. Previous studies have focused on training DNM using more appropriate algorithms. This paper proposes an improvement to DNM based on the activity of excitation and proposes three new models. Each of the three improved models are designed to mimic the excitation and inhibition activity of neurons. The improved model proposed in this paper is shown to be effective in the experimental part. All three models and original DNM have their own strengths, so it can be considered that the new model proposed in this paper well enriches the diversity of neuronal models and contributes to future research on networks models.</jats:p>


en: A dendritic neuron model optimized by meta-heuristics with a power-law-distributed population interaction network for financial time-series forecasting


en: A Non-Revisiting Equilibrium Optimizer Algorithm

en: IEICE Transactions on Information and Systems


en: Population interaction network in representative differential evolution algorithms: Power-law outperforms Poisson distribution

en: Physica A: Statistical Mechanics and its Applications


en: An intelligent metaphor-free spatial information sampling algorithm for balancing exploitation and exploration

en: Knowledge-based Systems

ja: Knowledge-based Systems


en: PAIDDE: A permutation-archive information directed differential evolution algorithm

en: IEEE Access

ja: IEEE Access


en: Spatial information sampling: another feedback mechanism of realising adaptive parameter control in meta-heuristic algorithms

en: International Journal of Bio-Inspired Computation


en: A novel distributed gravitational search algorithm with multi-layered information interaction


en: Adaptive chaotic spherical evolution algorithm

en: Memetic Computing

ja: Memetic Computing


en: Comparative study on single and multiple chaotic maps incorporated grey wolf optimization algorithms


en: A Dendritic Neuron Model with Adaptive Synapses Trained by Differential Evolution Algorithm

en: Computational Intelligence and Neuroscience


en: A classification and improvement method of metaheuristic algorithms based on complex networks

en: Bulletin of Advanced Institute of Industrial Technology


en: Design and Application of Meta-Heuristic Algorithms for Engineering Optimization in Renewable Energy Systems

en: Doctoral dissertation, University of Toyama


en: A Simple but Efficient Ranking-Based Differential Evolution

en: IEICE Transactions on Information and Systems


en: SCJADE: Yet Another StateoftheArt Differential Evolution Algorithm

en: IEEJ Transactions on Electrical and Electronic Engineering


en: A Ladder Spherical Evolution Search Algorithm

ja: IEICE Transactions on Information and Systems