3rd International Workshop on Computational Intelligence for Massive Optimization (CIMO 2024)

July 8–9, 2024 — Nagano, Japan

Overview

This is the third edition of the CIMO workshop series. It will take place on July 8–9, 2024 on the Engineering Campus of Shinshu University, in Nagano city, Japan. The CIMO workshop aims at bringing together researchers interested in developing integrated computational intelligence techniques into advanced (evolutionary) optimization paradigms for solving massive optimization problems. This thematic workshop targets an international audience, and was initiated within the France/Japan international lab (MODŌ), by providing a structuring element to gather researchers with different and often multidisciplinary backgrounds. The program will consist of talks about late-breaking research reflecting the state-of-the-art of evolutionary computation for massive optimization, and will provide many opportunities to interact with other attendees in order to encourage international cooperation and to favor the education of young researchers.

Topics of Interests

Optimization is ubiquitous to countless modern engineering and scientific applications. Today’s increasingly complex problems require to push the boundaries of existing optimization approaches, and to design innovative flexible general-purpose computational intelligence algorithms able to efficiently and effectively tackle them. Such massive optimization problems raise new important and difficult scientific challenges because of their dimensionality in terms of variables and objectives, their heterogeneity, and their expensive nature.

What?

• Large-scale optimization — variable space dimensionality

• Any-objective optimization — single-, multi-, and many-objective optimization

• Cross-domain optimization — heterogeneous continuous/combinatorial/pseudo-boolean/mixed representations

• Expensive optimization — costly/simulation-based black-box evaluations

How?

• Efficient algorithms, emerging approaches and architectures

• Landscape analysis, visualization and explainability

• Landscape-aware automated algorithm design, configuration and selection

• Models for problem understanding and algorithm design

• Hybridizing optimization algorithms and machine learning

Why?

• Innovations for society

• Human-centric AI

• Resource preservation, environment, sustainability and frugal computing

Program

July 8, Monday

12:30 - 13:00 Registration

13:00 - 13:10 Kiyoshi Tanaka (Shinshu University, Japan)

Welcome and Opening Remark

13:10-13:50 Felipe Honjo Ide, Hernan Aguirre, Kiyoshi Tanaka (Shinshu University, Japan)

Learning Based Evolutionary Algorithms for Large Scale Multi-Objective Optimization

13:50 -14:30 Arnaud Liefooghe, Sébastien Verel, Hernan Aguirre, Kiyoshi Tanaka (Université du Littoral Côte d'Opale - ULCO, France, Shinshu University, Japan)

An Inventory of 12007 Low-Dimensional Invariant Pseudo-Boolean Landscapes

14:30 - 14:50 Coffee Break

14:50 - 15:30 Rui Leite, Hernan Aguirre, Kiyoshi Tanaka (Shinshu University, Japan)

Estimating Nash Equilibria for Cybersecurity Models using Evolutionary Computation

14:50 - 15:30 Lucas Stampe, Janina Lütke Stockdiek, Britta Grimme, Christian Grimme (University of Münster / Paderborn University, Germany)

Benchmarking Sentence Embeddings in Textual Stream Clustering with Applications to Campaign Detection

15:30 - 16:10 Cyril Fonlupt (Université du Littoral Côte d'Opale - ULCO, France)

Deep learning techniques to better understand genetic programming

16:10 - 16:50 Bilel Derbel (University of Lille, France)

Heterogeneous multi-objective NK-landscapes

16:50 - 17:30 Yudai Tagawa, Hernan Aguirre, Kiyoshi Tanaka (Shinshu University, Japan)

Distributed Random Bit Climbers for Epistatic Problems

July 9, Tuesday

9:00 - 9:40 Sébastien Verel, Cyril Fonlupt (Université du Littoral Côte d'Opale - ULCO, France)

On Sparse Walsh Surrogate Model for Optimization

9:40 - 10:20 Yu Takei, Hernan Aguirre, Kiyoshi Tanaka (Shinshu University, Japan)

Survival Selection Algorithm using ε-Dominance

10:20 - 10:40 Coffee Break

10:40 - 11:20 Roberto Santana (University of the Basque Country UPV/EHU, Spain)

On learning machine learning based representations of fitness landscapes

11:20 - 12:00 Teruhisa Nakashima, Hernan Aguirre, Kiyoshi Tanaka (Shinshu University, Japan)

Investigation of the Relationship Between Crossover Features and Performance Using Regression Models

12:00 - 13:00 Official lunch International Steering Committee Members

Executive Meeting

13:00 - 13:10 Sébastien Verel (Université du Littoral Côte d'Opale - ULCO, France)

Closing Remark

Program in pdf

Registration

Registration is free but mandatory, the number of participants being limited.

If you have any question, feel free to contact us.

Location

Shinshu University, Nagano-Engineering Campus (Japan)

📌 4-17-1 Wakasato, Nagano City, 380-8553 Japan

The workshop will be held in building E2 (2F)

Access

The workshop venue is located at 20 minutes walk from the JR Nagano Station (East exit).

Accommodation

Our suggestion is to find an accommodations in the city centre, close to the JR Nagano station (20 minutes walk from the workshop location).

Few options are listed below:

• Hotel Metropolitan Nagano

• Chisun Grand Nagano

• Hotel Sunroute Nagano

Sponsors

CIMO2024 is hosted by Faculty of Engineering, Shinshu University, Japan