会议信息

ECTA 2026: International Conference on Evolutionary Computation Theory and Applications

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ECTA
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截稿日期:
2026-07-03 Extended
通知日期:
2026-07-17
会议日期:
2026-10-28
会议地点:
Angers, France
届数:
18
浏览: 16332   关注: 1   参加: 0

会伴指数 (CP-I)

50.3 / 100
全站第 1,458 名 / 共 5,650 个会议 · 前 26%

人工智能与机器学习 第 133 / 735

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
79
社区关注 (10%)
17
资料公开度 (15%)
35

用到的输入: 有据可查的届次：18 · 在会伴关注它的研究者：1 人 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-06

征稿

ECTA 2026 (International Conference on Evolutionary Computation Theory and Applications) is an academic conference held in Angers, France on 2026-10-28. The paper submission deadline is 2026-07-03 (extended). Acceptance notifications are sent on 2026-07-17.

SCOPE Considered a subfield of computational intelligence focused on global optimisation problems, evolutionary computation is associated with systems that use computational models of evolutionary processes as the key elements in design and implementation, i.e. computational techniques which are based to some degree on the evolution of biological life in the natural world. A number of evolutionary computational models have been proposed, including evolutionary algorithms, genetic algorithms, evolution strategies, evolutionary programming and swarm intelligence. These techniques form the basis of several disciplines such as artificial life and evolutionary robotics. This conference intends to be a major forum for scientists, engineers and practitioners interested in the study, analysis, design, modeling and implementation of evolvable systems, both theoretically and in a broad range of application fields. CONFERENCE AREAS Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas: 1. THEORY AND METHODS 2. APPLICATIONS AREA 1: THEORY AND METHODS Memetic Algorithms Evolutionary Search and Meta-Heuristics Representation Techniques Co-Evolution and Collective Behavior Genetic Algorithms Evolutionary Multi-Objective Optimization Swarm/Collective Intelligence Evolutionary Learning Systems Evolvable/Adaptive Hardware and Systems Hyperheuristics Genetic Programming Hybrid Neuro/Genetic, Fuzzy/Genetic Systems Evolutionary Algorithm Configuration (EA for AutoML) Automatic Algorithm Selection / Design for Evolutionary Computation Behavior Analysis of Evolutionary Algorithms Benchmarking Theory of Evolutionary Algorithms AREA 2: APPLICATIONS Games and Entertainment Technologies Evolutionary Robotics Industrial and Real World Applications
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ComputationMDPI2079-3197
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