The field of fluid mechanics is rapidly advancing, driven by unprecedented volumes of data
from experiments, field measurements, and large-scale simulations at multiple …

Derived from the concept of self-adaptation in evolution strategies, the CMA (Covariance
Matrix Adaptation) adapts the covariance matrix of a multi-variate normal search distribution …

This tutorial introduces the CMA Evolution Strategy (ES), where CMA stands for Covariance
Matrix Adaptation. The CMA-ES is a stochastic, or randomized, method for real-parameter …

In this paper we present an extension of ant colony optimization (ACO) to continuous
domains. We show how ACO, which was initially developed to be a metaheuristic for …

In this study, a novel SARIMA-SVR model is proposed to forecast statistical indicators in the
aviation industry that can be used for later capacity management and planning purpose …

In this paper the performance of the CMA evolution strategy with rank-μ-update and
weighted recombination is empirically investigated on eight multimodal test functions. In …

The covariancematrix adaptation evolution strategy (CMA-ES) is one of themost powerful
evolutionary algorithms for real-valued single-objective optimization. In this paper, we …

Evolution strategies (ES) are evolutionary algorithms that date back to the 1960s and that
are most commonly applied to black-box optimization problems in continuous search …

The hydrodynamics of anguilliform swimming motions was investigated using three-
dimensional simulations of the fluid flow past a self-propelled body. The motion of the body …

Evolutionary algorithm (EA) is an umbrella term used to describe population‐based
stochastic direct search algorithms that in some sense mimic natural evolution. Prominent …