Examples on the differents metaheuristics are available in "tutorials" directory of each module of ParadisEO. Here you can find the corresponding explications.

Tutorials EO:

• EO Lesson1-5 Implement a GA
• EO Lesson6 first part Implement a real PSO algorithm
• EO Lesson6 second part Implement a binary PSO algorithm

Tutorials MO:

• MO Lesson1 Hill Climber
• MO Lesson2 Neighborhoods (classical and indexed)
• MO Lesson3 Simulated Annealing and Checkpointing
• MO Lesson4 Tabu Search
• MO Lesson5 Iterated Local Search
• MO Lesson6 Fitness Landscapes Analysis
• MO Lesson7 Hybrid Lesson

Tutorials MOEO:

• MOEO Lesson1 Implement NSGA, NSGA-II and IBEA for the SCH1 problem
• MOEO Lesson2 Evolutionary Algorithms for the flow-shop scheduling problem
• MOEO Lesson3 Evolutionary Algorithms with a user-friendly parameter file
• MOEO Lesson4 Dominance-based Local Search for the flow-shop scheduling problem

Tutorials SMP: new

• SMP Lesson1 Algorithm wrapping with Master / Workers model

Tutorials PEO:

• PEO Intro Technical introduction
• PEO Lesson1 Multistart over a MO, Packing and Unpacking (use old-mo)
• PEO Lesson2 Multistart over an evolutionary algorithm
• PEO Lesson3 Parallel evaluation
• PEO Lesson4 Parallel transformation (use old-mo)
• PEO Lesson5 Island model
• PEO Lesson6 Hybridization (use old-mo)

GPU tutorials: *GPU Lesson1 CUDA installation and configuration *GPU Lesson2 Prerequisites: How to configure Paradiseo-GPU *GPU Lesson3 Prerequisites: How to define solution on GPU *GPU Lesson4 Prerequisites: How to define neighbor & neighborhood on GPU *GPU Lesson5 Prerequisites: How to evaluate solution & neighbor on GPU *GPU Lesson6 Hill Climbing and Tabu Search on GPU

Utils

• Utils Lesson1 Using configuration files
• Utils Lesson2 Using statistics