Impact Factor
3.34
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
4.54
153 total citations
h5-index
22
h5 depth signal
Cited share
65.7%
23 of 35
Total citations
153
Citation footprint
Metric signal
4.19
External metric anchor
Self-citation
1.3%
2 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United Kingdom
52
China
41
United States
33
Australia
29
Germany
28
Citing Fields of Research
AI & Machine Learning
229
Theoretical Computer Science
127
Supply Chain & Logistics
114
Graph Algorithms & Structures
35
Numerical Analysis
18
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
865
Articles tracked across the journal lifetime
Indexed publication set
35
23 cited publications
Last 12 months
38
5.4 publications/month
Open access share
0.0%
0 OA publications in the last year
Leading citing country
United Kingdom
52 citing publications
Leading citing field
AI & Machine Learning
229 citing publications
Latest tracked publication
30 September 2026
10 recent records available
Coverage & Indexing History
v5n1,spring 1997-
v5n1,spring 1997-
Active Coverage
Research Focus & Classification
Indexed Subjects
AI & Machine Learning
Broad Categories
Biology
Statistics as Topic
Supply Chain & Logistics
MeSH Descriptors
Biological Evolution
Mathematical Computing
Models, Genetic
Models, Theoretical
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1162/evco.a.408
Open DOI
Preference-Driven Surrogate-Assisted Evolutionary Multiobjective Feature Selection
Enhancing the classification performance is more challenging than reducing the number of features in multiobjective feature selection. Such imbalance might lead the population to converge to a region on the Pareto front with a small numb...
02
DOI 10.1162/evco.a.407
Open DOI
A Hybrid Evolutionary Algorithm for Time-Dependent Green Vehicle Routing Problem with Time Windows and Route Balancing in Cold Chain
This paper focuses on the cold chain logistics and proposes a multi-objective Vehicle Routing Problem (VRP) model that seeks to minimize the total cost of cold chain logistics and maximize the fairness of employees’ workloads. This model...
03
DOI 10.1162/evco.a.406
Open DOI
Learning Variable Importance and Interaction in Genetic Algorithms for Pseudo-Boolean Optimization
Understanding variable importance and interactions is relevant to the analysis of optimization problem instances and can provide insights into the behavior of evolutionary algorithms. We study the estimation of variable importance and in...
04
DOI 10.1162/evco.a.405
Open DOI
Generation of Continuous Optimization Benchmark Problems Guided by Deep Exploratory Landscape Analysis
The development and evaluation of optimization algorithms critically rely on representative benchmark functions. However, existing benchmarks often offer limited coverage of the diverse landscape characteristics encountered in real-world...
05
DOI 10.1162/evco.a.394
Open DOI
Enhancing Generalization and Scalability for Multiobjective Optimization with Population Pre-training
Multiobjective optimization problems (MOPs) require the simultaneous optimization of conflicting objectives. Real-world MOPs often exhibit complex characteristics, including high-dimensional decision spaces, many objectives, or computati...
06
DOI 10.1162/evco.a.370
Open DOI
Exploring Automated Algorithm Design Synergizing Large Language Models and Evolutionary Algorithms: Survey and Insights
Designing algorithms for optimization problems, no matter heuristic or metaheuristic, often relies on manual design and domain expertise, limiting their scalability and adaptability. The integration of Large Language Models (LLMs) and Ev...
07
DOI 10.1162/evco.a.29
Open DOI
All-Quadratic Mixed-Integer Problems: A Study on Evolution Strategies and Mathematical Programming
Mixed-integer (MI) quadratic models subject to quadratic constraints, known as All-Quadratic MI Programs, constitute a challenging class of NP-complete optimization problems. The particular scenario of unbounded integers defines a subcla...
08
DOI 10.1162/evco.a.28
Open DOI
Illuminating the Diversity-Fitness Trade-Off in Black-Box Optimization
In real-world applications, users often favor structurally diverse design choices over one high-quality solution. It is therefore important to consider more solutions that decision makers can compare and further explore based on addition...
09
DOI 10.1162/evco.a.27
Open DOI
Analysis and Simplification of the Winner of the CEC 2022 Optimization Competition on Single Objective Bound Constrained Search
Extending state-of-the-art evolutionary algorithms is a widespread research direction. This trend has resulted in algorithms that give good results but are complex and challenging to analyze. One of these algorithms is EA4Eig—the winner ...
10
DOI 10.1162/evco.a.393
Open DOI
A Dynamic Multiobjective Evolutionary Algorithm Using Dual-Space Prediction and Surrogate-Based Sampling
The main challenge in handling dynamic multiobjective optimization problems lies in the need for algorithms to accurately track Pareto-optimal solutions in constantly changing environments. Most existing prediction-based dynamic multiobj...
Bibliographical & Catalog Notes
Title from cover.
Print issues ceased with v. 22 (2014).
Also issued online.