Results 21 to 30 of about 6,029,102 (240)

Evolutionary ecology of hares (Lepus spp.) from northwest Africa: the existence of cryptic species and description of a new species (Lepus saharae sp. nov.) [PDF]

, 2019
Objective: We examine the different pressures that lead to the occurrence of new species and thus to their phylogenies. From an evolutionary ecology perspective, we examine the phylogenetic relationships of different lineages, as well as the evolutionary
Donat-Torres, Maria Pilar, Rguibi-Idrisi, Hamid, Urios, Vicente, Soria-Boix, Carmen   +3 more
core   +1 more source

A review of recent evolutionary computation-based techniques in wind turbines layout optimization problems

Open Computer Science, 2011
Salcedo-Sanz S., Saavedra-Moreno B., Paniagua-Tineo A., Prieto L., Portilla-Figueras A.   +4 more
doaj   +3 more sources

Orbit Transfer Manoeuvres as a Test Benchmark for Comparison Metrics of Evolutionary Algorithms [PDF]

, 2009
In the present paper some metrics for evaluating the performance of evolutionary algorithms are considered. The capabilities of two different optimisation approaches are compared on three test cases, represented by the optimisation of orbital transfer ...
G. Avanzini, Avanzini, Giulio, E.A. Minisci, Minisci, Edmondo, Avanzini, G., Minisci, E.A., E. A. MINISCI   +6 more
core   +1 more source

Introduction to Evolutionary Machine Learning Techniques

, 2019
This section first provides an overview of the machine learning field in artificial intelligence (AI). The most well-regarded classes of methods in AI are discussed to show where AI optimization algorithms and machine learning techniques fit in ...
Seyedali Mirjalili, Aljarah, Ibrahim, Faris, Hossam, Hossam Faris, Ibrahim Aljarah, Mirjalili, Seyedali   +5 more
core   +1 more source

The SIOA Algorithm: A Bio-Inspired Approach for Efficient Optimization

AppliedMath
The Sporulation-Inspired Optimization Algorithm (SIOA) is an innovative metaheuristic optimization method inspired by the biological mechanisms of microbial sporulation and dispersal.
Vasileios Charilogis, Ioannis G. Tsoulos, Dimitrios Tsalikakis, Anna Maria Gianni   +3 more
doaj   +1 more source

A Novel Method That Is Based on Differential Evolution Suitable for Large-Scale Optimization Problems

Foundations
Global optimization represents a fundamental challenge in computer science and engineering, as it aims to identify high-quality solutions to problems spanning from moderate to extremely high dimensionality.
Glykeria Kyrou, Vasileios Charilogis, Ioannis G. Tsoulos   +2 more
doaj   +1 more source

PEAO: A Cooperative Parallel Enzyme Optimization Algorithm with Adaptive Search Mechanisms

Analytics
Bio-inspired optimization algorithms have become an effective class of techniques for addressing challenging continuous optimization problems. In this work, we introduce the Parallel Enzyme Action Optimization (PEAO) algorithm, a parallel bio-inspired ...
Glykeria Kyrou, Ioannis G. Tsoulos, Vasileios Charilogis   +2 more
doaj   +1 more source

Combining Parallel Stochastic Methods and Mixed Termination Rules in Optimization

Algorithms
Parallel optimization enables faster and more efficient problem-solving by reducing computational resource consumption and time. By simultaneously combining multiple methods, such as evolutionary algorithms and swarm-based optimization, effective ...
Vasileios Charilogis, Ioannis G. Tsoulos, Anna Maria Gianni   +2 more
doaj   +1 more source

Train Neural Networks with a Hybrid Method That Incorporates a Novel Simulated Annealing Procedure

AppliedMath
In this paper, an innovative hybrid technique is proposed for the efficient training of artificial neural networks, which are used both in class learning problems and in data fitting problems.
Ioannis G. Tsoulos, Vasileios Charilogis, Dimitrios Tsalikakis   +2 more
doaj   +1 more source

Climate change in a conceptual atmosphere–phytoplankton model [PDF]

Earth System Dynamics, 2020
We develop a conceptual coupled atmosphere–phytoplankton model by combining the Lorenz'84 general circulation model and the logistic population growth model under the condition of a climate change due to a linear time dependence of the strength of ...
G. Károly, R. D. Prokaj, I. Scheuring, I. Scheuring, T. Tél, T. Tél   +5 more
doaj   +1 more source