Academic Journal
Q1Swarm and Evolutionary Computation
About Swarm and Evolutionary Computation
Swarm and Evolutionary Computation is a scholarly journal published by Elsevier B.V.. SCImago 2025 lists it in Q1, with an SJR of 1.751 and H-index of 120.
Coverage: 2011-2026. Research categories: Computer Science (miscellaneous) (Q1); Mathematics (miscellaneous) (Q1).
Source-backed journal facts
Topics in published research
Metaheuristic Optimization Algorithms Research; Advanced Multi-Objective Optimization Algorithms; Evolutionary Algorithms and Applications; Scheduling and Optimization Algorithms; Advanced Manufacturing and Logistics Optimization; Vehicle Routing Optimization Methods.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Reported open-access list prices
3,690.00 USD; 3,450.00 EUR; 2,950.00 GBP; 457,670.00 JPY
APC list prices reported by OpenAlex, which obtains this information from DOAJ. Confirm current charges, taxes, waivers and eligibility with the publisher; this is not a fee quotation.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Multi-knowledge driven distributed heterogeneous co-evolution for fuzzy distributed assembly flowshop deadlock-free scheduling
Lanting Hao, Meijia Guo, Guanghui Zhang, Lijie Zhang et al.
2026-10 · DOI: 10.1016/j.swevo.2026.102544Bi-objective chance-constrained evolutionary optimization for large-scale open-pit mine scheduling under geological uncertainty
Ishara Hewa Pathiranage, Aneta Neumann
2026-10 · DOI: 10.1016/j.swevo.2026.102543Reliability-aware evolutionary neural architecture search under noisy fitness evaluation for generative adversarial networks
Chengyu Yang, Moncef Gabbouj, Yu Xue, Khursheed Aurangzeb et al.
2026-10 · DOI: 10.1016/j.swevo.2026.102548Dual-Population Hybrid Genetic Programming for Decision Forest Optimization in Adaptive Classification Rule Construction
Xingsi Xue, Syed Muhammad Waqas, Guodong He, Wenxi Liu et al.
2026-10 · DOI: 10.1016/j.swevo.2026.102552An LLM-assisted optimization algorithm for energy-efficient flexible job shop scheduling problem with unreliable machines and AGVs
Zhiyuan Zeng, Zhiyang Jia, Zongyang Wu
2026-10 · DOI: 10.1016/j.swevo.2026.102531An intelligent optimization strategy of operating parameters for stable-efficient operation in the iron ore sintering process
Sheng Du, Chunyang Chu, Li Jin, Zixin Huang et al.
2026-10 · DOI: 10.1016/j.swevo.2026.102551Inverse modeling for dynamic multiobjective optimization with knowledge transfer in objective space
Chang Shao, Qi Zhao, Nana Pu, Shi Cheng et al.
2026-10 · DOI: 10.1016/j.swevo.2026.102536Enhancing search efficiency in large-scale constrained multi-objective optimization using a decision variable importance matrix
Guangyu Qian, Mingcheng Zuo, Yong Zhang, Dunwei Gong et al.
2026-10 · DOI: 10.1016/j.swevo.2026.102553Dual-space clustering-guided particle swarm optimization for multi-objective optimization
Meng Yan, Shuai Wang, Xiangzhou Gao, Yi Zhang et al.
2026-10 · DOI: 10.1016/j.swevo.2026.102557Elite quality and diversity in GA initialization: A comparative evaluation of constraint-adaptive initialization strategies for genetic algorithms in CVRP
Nur Iksan, Ali Tufail, Rosyzie Anna Apong
2026-10 · DOI: 10.1016/j.swevo.2026.102532Fusion-modeling-driven adversarial coevolutionary robust MOPSO for the zinc leaching process under feed disturbances
Honggui Han, Shilong Li, Ying Hou, Jingjing Wang et al.
2026-10 · DOI: 10.1016/j.swevo.2026.102545Many objective test suite for perishable goods distribution with product-specific perishability models
Member Joy Usigbe, Alok Singh, Yushin Ha, Rammohan Mallipeddi et al.
2026-10 · DOI: 10.1016/j.swevo.2026.102555Scheduling unrelated parallel machines with sequence-dependent family setups via deep reinforcement learning-driven rollout and adaptive batching
Donghyeon Kim, In-Beom Park
2026-10 · DOI: 10.1016/j.swevo.2026.102546Do chaotic-source effects transfer across large-scale optimizer consumers? A controlled source-substitution study
Tianhao Tao, Junli Wang, Zi Wang, Xudong Chai et al.
2026-10 · DOI: 10.1016/j.swevo.2026.102540Efficient incremental non-dominated sorting for bi-objective problems via linear-space IDG representation
D. Lahoz, I. Alberto, P.M. Mateo
2026-10 · DOI: 10.1016/j.swevo.2026.102558Evolutionary resilience in open multiagent optimization: From preset trust to emergent defense
Haoran Zhang, Lining Xing
2026-10 · DOI: 10.1016/j.swevo.2026.102554ARES: Autonomous rule-discovery evolutionary system for swarm intelligence driven by the synergy of knowledge and experience
Chen Wang, Jiangyao Bai, Zhuopu Zhang, Lailong Luo et al.
2026-10 · DOI: 10.1016/j.swevo.2026.102539A two-stage learning hyper-heuristic for integrated open-field layout and fuzzy flexible job shop scheduling
Yongqin Liu, Nanfeng Song, Chao Wang, Min Zuo et al.
2026-10 · DOI: 10.1016/j.swevo.2026.102547Constrained multi-objective optimization based on Lasso double machine learning
Yinghan Hong, Qiyuan Wu, Sirui Liang, Guizhen Mai et al.
2026-10 · DOI: 10.1016/j.swevo.2026.102550MOVLPSO-CNN-BiLSTM: Multi-objective variable-length particle swarm optimization-based CNN-BiLSTM for medium-term electric load forecasting
Guo-Qiang Zeng, De-Gui Yu, Li-Min Li, Yi-Peng Xu et al.
2026-09 · DOI: 10.1016/j.swevo.2026.102520Reviews
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October 4, 2026 at 8:49 pm
September 25, 2026