AI Based Optimization and Heuristic Algorithms Course

Master AI-based optimisation, genetic and swarm algorithms, constrained search, multi-objective methods and rigorous solution benchmarking.

Artificial Intelligence and Machine Learning Courses Confirmed

AI Based Optimization and Heuristic Algorithms Course

Training Outlines

Introduction

Many operational decisions involve enormous search spaces, competing objectives and constraints that make exhaustive optimisation impractical. Heuristic and AI-based methods can produce high-quality solutions for scheduling, routing, allocation, design and planning, but their effectiveness depends on sound mathematical formulation, appropriate search operators and disciplined benchmarking.

This five-day course develops practical competence in optimisation and heuristic algorithms. Participants will formulate decision problems, implement local and population-based search, apply evolutionary and swarm methods, manage constraints and multiple objectives, and evaluate solution quality under realistic computational budgets. The emphasis is on defensible optimisation rather than presenting a heuristic result as guaranteed optimality.

Objectives

By the end of this course, participants will be able to:

Formulate objectives, variables and constraints.
Distinguish exact, approximate and heuristic methods.
Apply local and population-based search.
Implement evolutionary and swarm algorithms.
Manage constrained and multi-objective problems.
Use surrogate and hybrid optimisation.
Benchmark solution quality and stability.
Design an applied optimisation solution.

Course Content

Day 1: Optimisation Problem Formulation

Decision variables and objective functions
Hard and soft constraints
Continuous and combinatorial problems
Exact versus heuristic optimisation
Search landscapes and local optima
Problem-formulation workshop

Day 2: Local and Population Search

Greedy and neighbourhood search
Simulated annealing
Tabu search
Genetic algorithms
Particle swarm optimisation
Heuristic-comparison laboratory

Day 3: Advanced and Hybrid Heuristics

Ant colony optimisation
Differential evolution
Evolution strategies
Memetic and hybrid algorithms
Surrogate-assisted optimisation
Hybrid-optimisation laboratory

Day 4: Constraints and Multiple Objectives

Penalty and repair methods
Feasibility-preserving search
Pareto optimality and trade-offs
Multi-objective evolutionary algorithms
Robust optimisation under uncertainty
Pareto-solution analysis exercise

Day 5: Evaluation and Operational Application

Initialisation and stopping criteria
Computational budgets and convergence
Baseline and sensitivity comparison
Reproducibility and random-seed analysis
Parallel search and decision integration
Capstone optimisation solution

Training Locations

This AI Based Optimization and Heuristic Algorithms Course is available in multiple cities. Please select your preferred location from the list below

Durrës

Albania

Tirana

Albania

Andorra la Vella

Andorra

Escaldes-Engordany

Andorra

Innsbruck

Austria

Salzburg

Austria

Vienna

Austria

Gomel

Belarus

Minsk

Belarus

Antwerp

Belgium

Brussels

Belgium

Banja Luka

Bosnia and Herzegovina

Sarajevo

Bosnia and Herzegovina

Plovdiv

Bulgaria

Sofia

Bulgaria

Dubrovnik

Croatia

Split

Croatia

Zagreb

Croatia

Limassol

Cyprus

Nicosia

Cyprus

Brno

Czech Republic

Prague

Czech Republic

Aarhus

Denmark

Copenhagen

Denmark

Tallinn

Estonia

Tartu

Estonia

Helsinki

Finland

Tampere

Finland

Lyon

France

Marseille

France

Nice

France

Paris

France

Berlin

Germany

Frankfurt

Germany

Hamburg

Germany

Munich

Germany

Athens

Greece

Thessaloniki

Greece

Budapest

Hungary

Debrecen

Hungary

Akureyri

Iceland

Reykjavík

Iceland

Jakarta

Indonesia

Cork

Ireland

Dublin

Ireland

Florence

Italy

Milan

Italy

Naples

Italy

Rome

Italy

Osaka

Japan

Tokyo

Japan

Pristina

Kosovo

Prizren

Kosovo

Liepāja

Latvia

Riga

Latvia

Schaan

Liechtenstein

Vaduz

Liechtenstein

Kaunas

Lithuania

Vilnius

Lithuania

Esch-sur-Alzette

Luxembourg

Luxembourg City

Luxembourg

Kuala Lumpur

Malaysia

Malé

Maldives

St. Julian's

Malta

Valletta

Malta

Bălți

Moldova

Chișinău

Moldova

La Condamine

Monaco

Monte Carlo

Monaco

Budva

Montenegro

Podgorica

Montenegro

Amsterdam

Netherlands

Rotterdam

Netherlands

The Hague

Netherlands

Abuja

Nigeria

Lagos

Nigeria

Port Harcourt

Nigeria

Ohrid

North Macedonia

Skopje

North Macedonia

Bergen

Norway

Oslo

Norway

Gdańsk

Poland

Kraków

Poland

Warsaw

Poland

Faro

Portugal

Lisbon

Portugal

Porto

Portugal

Bucharest

Romania

Cluj-Napoca

Romania

City of San Marino

San Marino

Serravalle

San Marino

Belgrade

Serbia

Novi Sad

Serbia

Singapore

Bratislava

Slovakia

Košice

Slovakia

Bled

Slovenia

Ljubljana

Slovenia

Incheon

South Korea

Seoul

South Korea

Barcelona

Spain

Madrid

Spain

Valencia

Spain

Sri Jayawardenepura Kotte

Sri Lanka

Gothenburg

Sweden

Stockholm

Sweden

Bern

Switzerland

Geneva

Switzerland

Zurich

Switzerland

Kaohsiung

Taiwan

Taipei

Taiwan

Ankara

Turkey

Istanbul

Turkey

Kyiv

Ukraine

Lviv

Ukraine

Odesa

Ukraine

Dubai

United Arab Emirates

Birmingham

United Kingdom

Edinburgh

United Kingdom

London

United Kingdom

Manchester

United Kingdom

Rome (Vatican-adjacent)

Vatican City

Training Schedule

Below is the table of cities along with the respective dates for the upcoming training sessions of AI Based Optimization and Heuristic Algorithms Course. Please review the schedule to find the most convenient option for you. You can also use the below search bar to type the city name and filter the results.