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ORCIDMemetic Computing, Volume 12
Volume 12, Number 1, March 2020
- Meng-Hiot Lim:
Editorial. 1-2 - Jhon Edgar Amaya
, Carlos Cotta, Antonio J. Fernández, Pablo García-Sánchez:
Deep memetic models for combinatorial optimization problems: application to the tool switching problem. 3-22 - Anton V. Eremeev, Yulia V. Kovalenko:
A memetic algorithm with optimal recombination for the asymmetric travelling salesman problem. 23-36 - Shi-hua Zhan, Lijin Wang, Zejun Zhang, Yiwen Zhong:
Noising methods with hybrid greedy repair operator for 0-1 knapsack problem. 37-50 - Maxim A. Dulebenets:
An Adaptive Island Evolutionary Algorithm for the berth scheduling problem. 51-72 - Libao Deng, Lili Zhang, Haili Sun, Liyan Qiao:
DSM-DE: a differential evolution with dynamic speciation-based mutation for single-objective optimization. 73-86
Volume 12, Number 2, June 2020
- Ademir C. Gabardo, Regina Berretta, Pablo Moscato:
M-Link: a link clustering memetic algorithm for overlapping community detection. 87-99 - Huahui Yang, Chen Meng, Cheng Wang:
A probability first memetic algorithm for the dynamic multiple-fault diagnosis problem with non-ideal tests. 101-113 - Najmeh Sayyadi Shahraki, Seyed Hamid Zahiri:
An improved multi-objective learning automata and its application in VLSI circuit design. 115-128 - Selcuk Aslan:
A comparative study between artificial bee colony (ABC) algorithm and its variants on big data optimization. 129-150 - Xixian Zhang, Zhijing Yang, Faxian Cao, Jiang-Zhong Cao, Meilin Wang, Nian Cai:
Conditioning optimization of extreme learning machine by multitask beetle antennae swarm algorithm. 151-164 - Qiqi Li, Zhicheng He, Eric Li, Tao Chen, Qiuyu Wang, Aiguo Cheng:
Development of a multi-objective artificial tree (MOAT) algorithm and its application in acoustic metamaterials. 165-184
Volume 12, Number 3, September 2020
- Pham Dinh Thanh, Huynh Thi Thanh Binh, Tran Ba Trung, Nguyen Binh Long:
Multifactorial evolutionary algorithm for solving clustered tree problems: competition among Cayley codes. 185-217 - Zizhao Zhang, Weng Kee Wong, Kay Chen Tan:
Competitive swarm optimizer with mutated agents for finding optimal designs for nonlinear regression models with multiple interacting factors. 219-233 - Islame F. C. Fernandes, Igor Rosberg de Medeiros Silva, Elizabeth Ferreira Gouvea Goldbarg, Sílvia M. D. M. Maia, Marco César Goldbarg:
A PSO-inspired architecture to hybridise multi-objective metaheuristics. 235-249 - Zhihua Cui, Maoqing Zhang, Hui Wang, Xingjuan Cai, Wensheng Zhang, Jinjun Chen:
Hybrid many-objective cuckoo search algorithm with Lévy and exponential distributions. 251-265 - Muhammad Usman, Wei Pang, George M. Coghill:
Inferring structure and parameters of dynamic system models simultaneously using swarm intelligence approaches. 267-282
Volume 12, Number 4, December 2020
- Souhila Sadeg, Leila Hamdad, Hadjer Chettab, Karima Benatchba, Zineb Habbas, M. Tahar Kechadi:
Feature selection based bee swarm meta-heuristic approach for combinatorial optimisation problems: a case-study on MaxSAT. 283-298 - Tiantian Cheng, Jinghui Zhong:
An efficient memetic genetic programming framework for symbolic regression. 299-315 - Nasimul Noman, Pablo Moscato:
Designing optimal combination therapy for personalised glioma treatment. 317-329 - Jing Liang, Guanlin Chen, Boyang Qu, Kunjie Yu, Caitong Yue, Kangjia Qiao, Hua Qian:
Cooperative co-evolutionary comprehensive learning particle swarm optimizer for formulation design of explosive simulant. 331-341 - Zhiqiang Xu, Yiping Ke, Xin Cao, Chunlai Zhou, Pengfei Wei, Xin Gao:
A unified linear convergence analysis of k-SVD. 343-353 - Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta:
Multi-task gradient descent for multi-task learning. 355-369 - Chao Lu, Liang Gao, Xinyu Li, Chengyu Hu, Xuesong Yan, Wenyin Gong:
Chaotic-based grey wolf optimizer for numerical and engineering optimization problems. 371-398 - Rung-Tzuo Liaw, Chuan-Kang Ting:
Evolution of biocoenosis through symbiosis with fitness approximation for many-tasking optimization. 399-417
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