Multi-objective optimization and its applications for Agent Systems (AAMAS'2026 Tutorial)

This tutorial deals with Pareto-based multi-objective optimization and its applications for single and multi-agent systems. Pareto-optimality is a well-known approach to support decision-making when objectives are conflicting. It aims to find the Pareto-optimal set and its associated front. This set includes solutions that can not be improved in any objective without deteriorating at least one other objective. The obtained Pareto front exposes the performance trade-offs that are associated with the Pareto-optimal solutions. This half-day tutorial aims to introduce the participants to: a) the fundamentals of Pareto-optimality, b) several leading algorithms to solve such problems, c) the applications for agent systems, d) the various advantages of this approach, and e) the research needs

Schedule

A) The first 1.5 hours out of 4 hours:

General introduction to the types of multi-objective optimization
Introduction to vector domination relation, non-domination set, Pareto-optimal set, and Pareto-front- definitions & examples
Introduction to 1st generation multi-objective evolutionary algorithms (MOEAs), e.g., NSGA-II

B) First break – 15 minutes.

C) The next 1 hour:

Introduction to advanced MOEAs, e.g., MOEA/D
Brief introduction to the extension of Pareto-optimality to multi-payoff games

D) Second break – 15 minutes

E) The last 1 hour:

Applications to single and multi-agent systems
Research needs

Target Audience

This tutorial should be relevant to all participants of AAMAS 2026, and particularly to those interested in handling conflicting objectives when dealing with single and multi-agent problems. No special prerequisite knowledge is needed

Presenters

First Presenter

Amiram Moshaiov,
School of Mechanical Engineering, Tel-Aviv University,

Tel-Aviv, Israel.
e-mail: moshaiov@tauex.tau.ac.il
website: eng.tau.ac.il/~moshaiov

Second Presenter

Adham Salih,

Department of Mechanical Engineering,

Braude College of Engineering,

Karmiel, Israel.

e-mail: adhamsalih@braude.ac.il
website: https://braude-research.org/adhamsalih

Materials

Slides - TBD