A Framework for Integrating Large Language Models into Memetic Algorithms [PDF]
BiomimeticsMemetic 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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Application of Population-Based Meta-Heuristic Algorithms for Robust Initialization in Mechanistic Pharmacometric Modeling. [PDF]
CPT Pharmacometrics Syst PharmacolABSTRACT Mechanistic PK/PD models represent complex biological systems in which model parameters are in nonlinear, multidimensional parameter spaces and often require robust optimization informed by experimental data, making parameter estimation a critical yet challenging aspect of pharmacometric analysis.
Lee D, Lin CW.
europepmc +2 more sources
A fuzzy system based self-adaptive memetic algorithm using population diversity control for evolutionary multi-objective optimization [PDF]
Scientific ReportsSimulated 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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One-Machine Scheduling with Time-Dependent Capacity via Efficient Memetic Algorithms
Mathematics, 2021 This paper addresses the problem of scheduling a set of jobs on a machine with time-varying capacity, with the goal of minimizing the total tardiness objective function.
Raúl Mencía, Carlos Mencía
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Electricity Load Forecasting Using Support Vector Regression with Memetic Algorithms [PDF]
The Scientific World Journal, 2013 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]
Scientific ReportsArtificial 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]
Scientific ReportsThe 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]
Scientific ReportsIn 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]
Computer and Knowledge Engineering, 2022 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]
International Journal of Computational Intelligence Systems, 2013 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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