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ORCIDMemetic Computing, Volume 14
Volume 14, Number 1, March 2022
- Yaqing Hou, Yuan Yuan, Zexuan Zhu:
Guest editorial. 1-2 - Tonghao Wang
, Xingguang Peng, Yaochu Jin, Demin Xu:
Experience Sharing Based Memetic Transfer Learning for Multiagent Reinforcement Learning. 3-17 - Yifeng Zeng, Qiang Ran, Biyang Ma, Yinghui Pan:
Modelling other agents through evolutionary behaviours. 19-30 - Qingxia Shang, Yuxiao Huang, Yu Wang, Min Li, Liang Feng:
Solving vehicle routing problem by memetic search with evolutionary multitasking. 31-44 - Weijing Dai, Zhenkun Wang, Ke Xue:
System-in-package design using multi-task memetic learning and optimization. 45-59 - Zhan WangPing, Min Jiang, Junfeng Yao, KunHong Liu, Qingqiang Wu:
The design of evolutionary feature selection operator for the micro-expression recognition. 61-76 - Juanjuan Luo, Dongqing Zhou, Lingling Jiang, Huadong Ma:
A particle swarm optimization based multiobjective memetic algorithm for high-dimensional feature selection. 77-93 - Jianlin Zhang, Jie Cao, Fuqing Zhao, Zuohan Chen:
A constrained multi-objective optimization algorithm with two cooperative populations. 95-113 - Chaodong Fan, Yunfan Li, Lingzhi Yi, Leyi Xiao, Xilong Qu, Zhaoyang Ai:
Multi-objective LSTM ensemble model for household short-term load forecasting. 115-132
Volume 14, Number 2, June 2022
- Ran Cheng, Jinliang Ding, Wenli Du, Yaochu Jin:
Thematic issue on knowledge and data driven evolutionary multi-objective optimization. 133-134 - Julian Blank, Kalyanmoy Deb:
Handling constrained multi-objective optimization problems with heterogeneous evaluation times: proof-of-principle results. 135-150 - Roy de Winter, Philip Bronkhorst, Bas van Stein, Thomas Bäck:
Constrained Multi-Objective Optimization with a Limited Budget of Function Evaluations. 151-164 - Haokai Hong, Kai Ye, Min Jiang, Donglin Cao, Kay Chen Tan:
Solving large-scale multiobjective optimization via the probabilistic prediction model. 165-177 - Zhenshou Song, Handing Wang, Hongbin Xu:
A framework for expensive many-objective optimization with Pareto-based bi-indicator infill sampling criterion. 179-191 - Qihao Liu, Xinyu Li, Liang Gao, Guangchen Wang:
A multiobjective memetic algorithm for integrated process planning and scheduling problem in distributed heterogeneous manufacturing systems. 193-209 - Chengyu Hu, Qiuming Wang, Wenyin Gong, Xuesong Yan:
Multi-objective deep reinforcement learning for emergency scheduling in a water distribution network. 211-223 - Jiangjiao Xu, Ke Li, Mohammad Abusara:
Preference based multi-objective reinforcement learning for multi-microgrid system optimization problem in smart grid. 225-235 - Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao:
Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation. 237-251
Volume 14, Number 3, September 2022
- Gintaras Palubeckis:
Metaheuristic approaches for ratio cut and normalized cut graph partitioning. 253-285 - Wenwen Liu, Shiu Yin Yuen, Chi Wan Sung:
A generic method to compose an algorithm portfolio with a problem set of unknown distribution. 287-304 - Imanol Unanue, María Merino, José Antonio Lozano:
A mathematical analysis of EDAs with distance-based exponential models. 305-334 - Siqi Wang, Tee Hiang Cheng, Meng-Hiot Lim:
A hierarchical taxonomic survey of spiking neural networks. 335-354 - Tanzila Azad, Humyun Fuad Rahman, Ripon K. Chakrabortty, Michael J. Ryan:
Optimization of integrated production scheduling and vehicle routing problem with batch delivery to multiple customers in supply chain. 355-376 - Samaneh Yazdani, Esmaeil Hadavandi, Mohammad Mirzaei:
CCMBO: a covariance-based clustered monarch butterfly algorithm for optimization problems. 377-394
Volume 14, Number 4, December 2022
- Lázaro Lugo, Carlos Segura, Gara Miranda:
A diversity-aware memetic algorithm for the linear ordering Problem. 395-409 - Hongze Wang, Xuerong Li, Wenjing Hong, Ke Tang:
Multi-objective approaches to portfolio optimization with market impact costs. 411-421 - Lei Chen, Haosen Liu, Hai-Lin Liu, Fangqing Gu:
A bi-level transformation based evolutionary algorithm framework for equality constrained optimization. 423-432 - Hong Li, Li Zhang:
A hybrid heuristic approach with adaptive scalarization for linear semivectorial bilevel programming and its application. 433-449 - Chengyu Hu, Rui Qiao, Wenyin Gong, Xuesong Yan, Ling Wang:
A novelty-search-based evolutionary reinforcement learning algorithm for continuous optimization problems. 451-460 - Hongling Chen, Yanyan Tan, Zeyuan Yan, Lili Meng, Wenbo Wan:
Optimal operator selection based on the hybrid operator selection strategy. 461-476
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