A Framework for Integrating Large Language Models into Memetic Algorithms [PDF]
Memetic algorithms achieve strong optimization performance by combining population-based global search with local refinement operators, yet their effectiveness critically depends on the design and management of memes.
Maxim Sakharov
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A fuzzy system based self-adaptive memetic algorithm using population diversity control for evolutionary multi-objective optimization [PDF]
Simulated by nature’s evolution, numerous evolutionary algorithms had been proposed. These algorithms perform better for a particular problem domain and extensive parameter fine tuning and adaptations are required in optimizing problems of varied domain.
Brindha Subburaj, S. Miruna Joe Amali
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Electricity Load Forecasting Using Support Vector Regression with Memetic Algorithms [PDF]
Electricity load forecasting is an important issue that is widely explored and examined in power systems operation literature and commercial transactions in electricity markets literature as well.
Zhongyi Hu, Yukun Bao, Tao Xiong
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A memetic dynamic coral reef optimisation algorithm for simultaneous training, design, and optimisation of artificial neural networks [PDF]
Artificial Neural Networks (ANNs) have been used in a multitude of real-world applications given their predictive capabilities, and algorithms based on gradient descent, such as Backpropagation (BP) and variants, are usually considered for their ...
Francisco Bérchez-Moreno +4 more
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Research on tugboat scheduling optimization model considering the reliability of tugboat matching scheme [PDF]
The selection and scheduling of tugboat matching schemes are key tasks in tugboat assistance operation management. With large ships requiring more tugboat assistance, a two-stage multi-criteria decision-making method is proposed.
Yangjun Ren +6 more
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Colonial bacterial memetic algorithm and its application on a darts playing robot [PDF]
In this paper, we present the Colonial Bacterial Memetic Algorithm (CBMA), an advanced evolutionary optimization approach for robotic applications.
Szilárd Kovács +2 more
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Multi-agent memetic algorithm and its application to community structure detection in complex networks [PDF]
A complex system is a system that has many components that are interdependent and appear as a whole and exhibit organized behavior. Community structure detection is an optimization problem in complex networks that involves searching for communities ...
Somayeh Ranjkesh +2 more
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Cross entropy-based memetic algorithms: An application study over the tool switching problem [PDF]
This paper presents a parameterized schema for building memetic algorithms based on cross-entropy (CE) methods. This novel schema is general in nature, and features multiple probability mass functions and Lamarckian learning.
Jhon Edgar Amaya +2 more
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Comparison of Predictive Models for the Early Diagnosis of Diabetes [PDF]
ObjectivesThis study develops neural network models to improve the prediction of diabetes using clinical and lifestyle characteristics. Prediction models were developed using a combination of approaches and concepts.MethodsWe used memetic algorithms to ...
Meysam Jahani, Mahdi Mahdavi
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Population Symmetrization in Genetic Algorithms
The paper presents a memetic modification of the classical genetic algorithm by introducing a cyclic symmetrization of the population, symmetrizing the parental points around the current population leader.
Grzegorz Kusztelak +2 more
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