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Evolutionary Intelligence

Evolutionary Intelligence OnlineFirst articles

13-08-2020 | Research Paper

Novel operators for quantum evolutionary algorithm in solving timetabling problem

Timetabling is a well-known combinatorial optimization problem which belongs to the class of NP hard problems. Quantum Evolutionary Algorithms (QEA) are highly suitable for the class of combinatorial optimization problems, but since proposed, they …

11-08-2020 | Research Paper

Neighborhood centroid opposite-based learning Harris Hawks optimization for training neural networks

The Harris Hawks Optimization Algorithm is a new metaheuristic optimization that simulates the process of Harris Hawk hunting prey (rabbit) in nature. The global and local search processes of the algorithm are performed by simulating several …

10-08-2020 | Special Issue

An efficient priority based resource management framework for IoT enabled applications in the cloud

Internet of things (IoT) enabled applications are gaining importance in the recent times in many services likehealth care, smart homes, security services etc. The IoT enabled application generates huge volumes of data by continuously monitoring …

09-08-2020 | Special Issue

On deep ensemble CNN–SAE based novel agro-market price forecasting

The prices of agro-commodities are highly volatile. Hence it is a challenge to the farmers to ensure fair and remunerative prices of these commodities. As a result, there is a need for prediction of agro market price appropriately. The closing …

06-08-2020 | Research Paper

Massive MIMO perspective: improved sea lion for optimal antenna selection

The massive MIMO is an advanced technology in the wideband wireless communication system’s future, which provokes extensive attention in both academia and telecommunication industry. Pilot contamination is considered as a fundamental issue in the …

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About this journal

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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