Everything about Cellular evolutionary algorithm

🧭 Start here: a 6-step reading path

1. Read the overview: Cellular evolutionary algorithmA 5-minute orientation
2. Skim a recent paper: A matheuristic-based multi-objective evolutionary algorithm for flexible assembly jobs shop scheduling problem in cellular manufactureInfluential work since 2022
3. Pick up a classic book: Swarm, Evolutionary, and Memetic ComputingThe most-reprinted book on the subject
4. Read the landmark paper: Multi-objective optimization of cellular fenestration by an evolutionary algorithmCited 45 times
5. Go sideways: Population model (evolutionary algorithm)A closely related topic
6. Go sideways: Parallel metaheuristicA closely related topic

🏆 Landmark papers (most cited)

• Multi-objective optimization of cellular fenestration by an evolutionary algorithm

  Jonathan A. Wright, Alexander Brownlee, Monjur M. Mourshed · 2013 · Journal of Building Performance Simulation · 45 citations

• AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking

  Eneko Osaba, Javier Del Ser, Aritz D. Martinez · 2021 · Information Sciences · 34 citations

• An efficient evolutionary algorithm for channel resource management in cellular mobile systems

  H.G. Sandalidis, P.P. Stavroulakis, J. Rodriguez-Tellez · 1998 · IEEE Transactions on Evolutionary Computation · 33 citations

• Trajectory planning of cellular manipulator system using virus-evolutionary genetic algorithm

  Naoyuki Kubota, Toshio Fukuda, Koji Shimojima · 1996 · Robotics and Autonomous Systems · 20 citations

• A new fine-grained evolutionary algorithm based on cellular learning automata

  Reza Rastegar, Mohammad Reza Meybodi, Arash Hariri · 2006 · International Journal of Hybrid Intelligent Systems · 17 citations

• A hybrid cellular automaton–bi-directional evolutionary optimization algorithm for topological optimization of crashworthiness

  Ning Gan, Song Yao, Yulin Xiong · 2018 · Engineering Optimization · 13 citations

• Optimizing the energy-spectrum efficiency of cellular systems by evolutionary multi-objective algorithm

  Qiang Wang, Hai-Lin Liu, Jiawei Yuan · 2019 · Integrated Computer-Aided Engineering · 12 citations

• Population sizing of cellular evolutionary algorithms

  Carlos M. Fernandes, Nuno Fachada, Juan L.J. Laredo · 2020 · Swarm and Evolutionary Computation · 10 citations

🆕 Influential since 2022

• A matheuristic-based multi-objective evolutionary algorithm for flexible assembly jobs shop scheduling problem in cellular manufacture

  Yifan Hu, Liping Zhang, Qiong Wang · 2024 · Swarm and Evolutionary Computation · 23 citations

• Mathematical model and adaptive multi-objective evolutionary algorithm for cellular manufacturing with mixed production mode

  Lixin Cheng, Qiuhua Tang, Liping Zhang · 2024 · Swarm and Evolutionary Computation · 4 citations

• A takeover time-driven adaptive evolutionary algorithm for mobile user tracking in pre-5G cellular networks

  Zakaria Abdelmoiz Dahi, Enrique Alba, Gabriel Luque · 2022 · Applied Soft Computing · 2 citations

• A knowledge-guided evolutionary algorithm for integrated group production and transportation scheduling with inter-cell coordination in cellular manufacturing systems

  Zhi-Xuan Wang, Biao Zhang, Jia-Xing Li · 2026 · Computers & Industrial Engineering · 1 citations

📚 Books worth reading

• Swarm, Evolutionary, and Memetic ComputingBijaya Ketan Panigrahi · 2010
• Swarm and Evolutionary ComputationLeszek Rutkowski · 2012
• Swarm Evolutionary and Memetic Computing Lecture Notes in Computer ScienceSwagatam Das · 2012

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics

• Population model (evolutionary algorithm) The population model of an evolutionary algorithm (EA) describes the structural properties of its population to which its members are subject. A population…
• Parallel metaheuristic Parallel metaheuristic is a class of techniques that are capable of reducing both the numerical effort[clarification needed] and the run time of a metaheuristic…
• Evolutionary algorithm Evolutionary algorithms (EA) reproduce essential elements of biological evolution in a computer algorithm in order to solve "difficult" problems, at least…
• Premature convergence Premature convergence is an unwanted effect in evolutionary algorithms (EA), a metaheuristic that mimics the basic principles of biological evolution as…
• MCACEA MCACEA (Multiple Coordinated Agents Coevolution Evolutionary Algorithm) is a general framework that uses a single evolutionary algorithm (EA) per agent…
• Enrique Alba Enrique Alba is a professor of computer science at the University of Málaga, Spain. Prof. Alba achieved his Ph.D. degree on designing and analyzing parallel…
• Memetic algorithm In computer science and operations research, a memetic algorithm (MA) is an extension of an evolutionary algorithm (EA) that aims to accelerate the evolutionary…
• Evolutionary multimodal optimization In applied mathematics, multimodal optimization deals with optimization tasks that involve finding all or most of the multiple (at least locally optimal)…