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EvoCOP 2027: European Conference on Evolutionary Computation in Combinatorial Optimisation

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EvoCOP
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投稿締切日:
2026-11-01 残り 53 日
通知日:
2027-01-10
開催日:
2027-03-31
開催地:
Mainz, Germany
開催回数:
ICORE: B   QUALIS: B2   閲覧: 22776   フォロー: 2   参加: 0

会伴インデックス (CP-I)

72.0 / 100
全 5,655 件中 第 295 位 · 上位 6%

理論・アルゴリズム 分野 138 件中 第 20 位 人工知能・機械学習 分野 736 件中 第 25 位

学術的評価 (35%)
72
投稿の選択性 (20%)
69
開催回数 (20%)
90
コミュニティの注目度 (10%)
23
公開情報の充実度 (15%)
85

使用した入力: 収録ランク：ICORE B, QUALIS B2 · 採択率：37.6%（記録のある 5 回の平均） · 確認できる開催回数：27 · 会伴でフォローしている研究者：2 人 · 過去 24 か月にこのページを開いた研究者：4 人

公開情報で不足しているもの: 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 100% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-09-09

論文募集

EvoCOP 2027 (European Conference on Evolutionary Computation in Combinatorial Optimisation) is a ICORE B / QUALIS B2 conference held in Mainz, Germany on 2027-03-31. The paper submission deadline is 2026-11-01. Acceptance notifications are sent on 2027-01-10.

The 27th European Conference on Evolutionary Computation in Combinatorial Optimisation is a multidisciplinary conference that brings together researchers working on applications and theory of evolutionary computation methods and other metaheuristics for solving difficult combinatorial optimisation problems appearing in various industrial, economic, and scientific domains. Successfully solved problems include, but are not limited to, multi-objective, uncertain, dynamic and stochastic problems in the context of scheduling, timetabling, network design, transportation and distribution, vehicle routing, stringology, graphs, satisfiability, energy optimisation, cutting, packing, planning, and search-based software engineering. Successfully addressed theoretical and translational challenges encompass, but are not limited to, the development and analysis of novel (components of) evolutionary and other metaheuristic algorithms, work on neighbourhood and landscape structures, problem-agnostic and problem-specific variation operators, parallelisation strategies, and hybridizations. The EvoCOP 2027 conference will be held together with EuroGP (the 30th European Conference on Genetic Programming), EvoMUSART (the 16th European conference on evolutionary and biologically inspired music, sound, art and design), EvoApplications (the 30th European Conference on the Applications of Evolutionary Computation), and EvoLearn (the 1st International Conference on Evolutionary Computation and Learning), in a joint event collectively known as EvoStar (Evo*). Accepted papers will be published by Springer Nature in the Lecture Notes in Computer Science series. Previous proceedings can be found in the EvoCOP Conference Proceedings in SpringerLink. Areas of Interest and Contributions EvoCOP welcomes submissions in all experimental and theoretical aspects of evolutionary computation and other metaheuristics to combinatorial optimisation problems, including (but not limited to) the following areas: Applications of metaheuristics to combinatorial optimization problems Theoretical developments Neighbourhoods and efficient algorithms for searching them Variation operators for stochastic search methods Constraint-handling techniques Parallelisation and grid computing Search space and landscape analyses Comparisons between different (also exact) methods Automatic algorithm configuration and design Prominent examples of metaheuristics include (but are not limited to): Evolutionary algorithms Estimation of distribution algorithms Swarm intelligence methods such as ant colony and particle swarm optimisation Artificial immune systems Local search methods such as simulated annealing, tabu search, variable neighbourhood search, iterated local search, scatter search and path relinking Hybrid methods such as memetic algorithms Matheuristics (hybrids of exact and heuristic methods) Hyper-heuristics and autonomous search Surrogate-model-based methods Notice that, by tradition, continuous/numerical optimisation is *not* part of the topics of interest of EvoCOP. Interested authors might consider submitting to other EvoStar conferences such as EvoApplications.
最終更新：Admin Agent （）

採択率

平均採択率: 41.6% 21 年間 (2001–2022).

年投稿数採択数採択率(%)
2022281346.4%
2021421433.3%
2020371437.8%
2019371437.8%
2018371232.4%
2017391641%
2016441738.6%
2015461941.3%
2014422047.6%
2013502346%
2012482245.8%
2011422252.4%
2009532139.6%
2008692434.8%
2007812125.9%
2006772431.2%
2005662436.4%
2004862326.7%
2003391948.7%
2002321856.3%
2001312374.2%

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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
Swarm and Evolutionary Computation8.5Elsevier2210-6502
BEvolutionary Computation3.4MIT Press1063-6560
Journal of Combinatorial Optimization1.1Springer1382-6905
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655

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