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Evolutionary Intelligence

Evolutionary Intelligence OnlineFirst articles

25.05.2020 | Research Paper Open Access

Self-adaptive learning for hybrid genetic algorithms

Local search can be introduced into genetic algorithms to create a hybrid, but any improvement in performance is dependent on the learning mechanism. In the Lamarckian model, a candidate solution is replaced by a fitter neighbour if one is found …

21.05.2020 | Research Paper

Genetic algorithm-based fuzzy clustering applied to multivariate time series

Despite the fact that the fuzzy clustering of time series based on genetic algorithm (GA) is mostly used in applications involving univariate time series, this paper presents an approach based on GA and Fuzzy C-Means (FCM) for clustering …

17.05.2020 | Research Paper

Enhancing Cartesian genetic programming through preferential selection of larger solutions

We demonstrate how the efficiency of Cartesian genetic programming methods can be enhanced through the preferential selection of phenotypically larger solutions among equally good solutions. The advantage is demonstrated in two qualitatively …

13.05.2020 | Research Paper

Intelligent environment for advanced brain imaging: multi-agent system for an automated Alzheimer diagnosis

Over decades Alzheimer’s disease (AD) researches presented increasing challenges. However, various methods were proposed to detect AD including image processing. This paper presents a concrete solution to diagnose AD based on a multi-agent system …

11.05.2020 | Special Issue

Soft computing approach for multi-objective task allocation problem in wireless sensor network

Sensor nodes of a wireless sensor network (WSN) are resource constrained and the real time applications of WSN may exceed the computational capacity of a particular sensor node. Thus, such real-time applications of WSN cannot be completed by a …

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Über diese Zeitschrift

Evolutionary Intelligence is the place to discover advances in the field of evolutionary intelligence. The journal is devoted to the timely publication and dissemination of both the theoretical and practical aspects of population-based searches for artificial intelligence.

Among the techniques covered are rule-based systems, artificial neural networks, fuzzy systems, Bayesian and statistical approaches, artificial immune systems, and hybrid systems combining evolutionary computation with other artificial intelligence techniques.

A partial list of topics includes memory, vision, planning, knowledge representation and construction, robotics, neuroscience, language, development and learning, and cognitive science. Readers will also find papers describing applications in such areas as data mining, adaptive control, medical and bioinformatics, games and multi-media, agent-based computing and modeling, complex systems, and chemical and biological systems.

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