Spain

ECAI 2020

A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive

algorithm design

solution subset selection

unbounded external archive

evolutionary multi-objective optimization

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

technical paper

Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem

Improving Document Classification with Multi-Sense Embeddings

Reasoning with a Bounded Number of Resources in ATL+

Rewrite or not Rewrite? ML-based Algorithm Selection for Datalog Query Answering on Knowledge Graphs

Unsupervised Adversarial Learning of Anomaly Detection in the Wild

Ensemble Methods for Object Detection

Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking

Learning to Predict Charges for Legal Judgment via Self-Attentive Capsule Network

Bidirectional Scene Text Recognition with a Single Decoder

Humans are capable of abstracting away irrelevant details or distinguish the common properties when studying problems. This is especially noticeable for planning problems, as humans are able to disregard certain parts of the domain and focus on the key elements important for finding a plan. Recently, the notion of abstraction has been introduced for Answer Set Programming (ASP), a knowledge representation and reasoning paradigm widely used in problem solving, with the potential to understand the key elements of a program that play a role in finding a solution. This paper highlights the potential use of such an abstraction in getting to the essence of planning problems, expressed in ASP, by disregarding irrelevant details and computing abstract plans.

Abstraction for ASP Planning

poster

https://d3smihljt9218e.cloudfront.net/transcript/1264/subtitle/1f53eab8f541640ff6fada028d5303c4.vtt

English (automatic)

A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive

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Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem

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Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary Algorithms

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A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive

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Next from ECAI 2020

Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem

Similar lecture

Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary Algorithms

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES

Downloads