Results 51 to 60 of about 14,432 (202)
A Memetic Algorithm for VLSI Floorplanning [PDF]
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2007 Floorplanning is an important problem in very large scale integrated-circuit (VLSI) design automation as it determines the performance, size, yield, and reliability of VLSI chips. From the computational point of view, VLSI floorplanning is an NP-hard problem.
Tang, Maolin, Yao, Xin
openaire +3 more sources
International Transactions in Operational Research, Volume 33, Issue 2, Page 860-891, March 2026.Abstract Sustainability has become one of the main objectives in all human activities and, in particular, in manufacturing environments. In this paper, we consider the flexible job shop scheduling problem with the objective of minimizing energy consumption.
Ernesto G. Birgin +2 more
wiley +1 more source
Memes Evolution in a Memetic Variant of Particle Swarm Optimization
Mathematics, 2019 In this work, a coevolving memetic particle swarm optimization (CoMPSO) algorithm is presented. CoMPSO introduces the memetic evolution of local search operators in particle swarm optimization (PSO) continuous/discrete hybrid search spaces.
Umberto Bartoccini +3 more
doaj +1 more source
Applied AI Letters, Volume 7, Issue 1, February 2026.Workflow of the proposed hybrid BWO‐Transformer framework for stock price prediction. ABSTRACT Accurately predicting stock prices remains a major challenge in financial analytics due to the complexity and noise inherent in market data. Feature selection plays a critical role in improving both computational efficiency and predictive performance. In this
Amirhossein Malakouti Semnani +3 more
wiley +1 more source
Rect@, 2005 This paper applies a memetic algorithm, MA, to solve a stochastic facility location problem. This MA is constructed by combining a genetic algorithm with a local search operator. The problem consists on determining the best locations in which to place
Silvia Casado +3 more
doaj
IEEE AccessIn environments rich in data, machine learning models often encounter challenges such as data sparsity and overfitting, primarily due to datasets with an excessive number of features.
Keerthi Gabbi Reddy, Deepasikha Mishra
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A Modified Shuffled Frog Leaping Algorithm for the Topology Optimization of Electromagnet Devices
Applied Sciences, 2020 The memetic algorithms which employ population information spreading mechanism have shown great potentials in solving complex three-dimensional black-box problems.
Wenjia Yang, Siu Lau Ho, Weinong Fu
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ADAPTIVE MULTI-OBJECTIVE SUB-PIXEL MAPPING FRAMEWORK BASED ON MEMETIC ALGORITHM FOR HYPERSPECTRAL REMOTE SENSING IMAGERY [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Sub-pixel mapping technique can specify the location of each class within the pixels based on the assumption of spatial dependence. Traditional sub-pixel mapping algorithms only consider the spatial dependence at the pixel level.
Y. Zhong, L. Zhang
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Search Trajectory Networks Applied to the Cyclic Bandwidth Sum Problem
IEEE Access, 2021 Search trajectory networks (STNs) were proposed as a tool to analyze the behavior of metaheuristics in relation to their exploration ability and the search space regions they traverse.
Valentina Narvaez-Teran +2 more
doaj +1 more source
A novel memetic feature selection algorithm [PDF]
The 5th Conference on Information and Knowledge Technology, 2013 M., Montazeri, H. R. Naji, M. Montazeri, A. Faraahi. A novel memetic feature selection algorithm.
Montazeri, Mohadeseh +3 more
openaire +2 more sources