spatially structured metaheuristics: principles and practical applications

Spatially Structured Metaheuristics: Principles and Practical Applications

Juan Luis Jiménez LaredoUniversity of Luxembourg

Spatially Structured Metaheuristics: Principles and Practical Applications

Wikipedia A metaheuristic is a higher-level procedure or heuristic designed to find, generate, or select a lower-level procedure or heuristic that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation capacity [Bianchi et al.].

Spatially Structured Metaheuristics: Principles and Practical Applications

Wikipedia A metaheuristic is a higher-level procedure or heuristic designed to find, generate, or select a lower-level procedure or heuristic that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation capacity [Bianchi et al.].

By Sam Derbyshire

Spatially Structured Metaheuristics: Principles and Practical Applications

By Sam Derbyshire

by Johann "nojhan" Dréo, Caner Candan

By Sam Derbyshire

Spatially Structured Metaheuristics: Principles and Practical Applications

by Johann "nojhan" Dréo, Caner Candan

By Sam Derbyshire

Spatially Structured Metaheuristics: Principles and Practical Applications

by Johann "nojhan" Dréo, Caner Candan

By Sam Derbyshire

Spatially Structured Metaheuristics: Principles and Practical Applications

Metaheuristics

Population

Evolutionaryalgorithms

By Sam Derbyshire

Spatially Structured Metaheuristics: Principles and Practical Applications

Evolutionaryalgorithms

By Sam Derbyshire

Spatially Structured Metaheuristics: Principles and Practical Applications

Evolutionaryalgorithms

Graph of acquaintances having a not-null probability of mating

By Sam Derbyshire

Spatially Structured Metaheuristics: Principles and Practical Applications

Evolutionaryalgorithms

Graph of acquaintances having a not-null probability of mating

What kind of a graph definesa canonical EA??

By Sam Derbyshire

Spatially Structured Metaheuristics: Principles and Practical Applications

What kind of a graph definesa canonical EA??

The answer is: a complete graph

A population like that

is called panmictic

Spatially Structured Metaheuristics: Principles and Practical Applications

Then what happen if we

remove some edges??

Spatially Structured Metaheuristics: Principles and Practical Applications

We are defining a Spatially Structured

MetaheuristicAn individual can only mate

within a neighborhood.

Then what happen if we

remove some edges??

Spatially Structured Metaheuristics: Principles and Practical Applications

In panmictic populations the environmental selection

pressure is very high

Spatially Structured Metaheuristics: Principles and Practical Applications

But remember:The graph can be any!!

Spatially Structured Metaheuristics: Principles and Practical Applications

… and we can really relaxthe selection pressure and

favoring niching

Spatially Structured Metaheuristics: Principles and Practical Applications

Can we really do something with ALL this?

By Sam Derbyshire

Spatially Structured Metaheuristics: Principles and Practical Applications

The answer is YES, and we are gonna talk about 2 things:

• Diversity• Scalability By Sam Derbyshire

Spatially Structured Metaheuristics: Principles and Practical Applications

About diversity…

Spatially Structured Metaheuristics: Principles and Practical Applications

About diversity…

Spatially Structured Metaheuristics: Principles and Practical Applications

About diversity…

?

Spatially Structured Metaheuristics: Principles and Practical Applications

This is P2P…

Spatially Structured Metaheuristics: Principles and Practical Applications

This is P2P…

Spatially Structured Metaheuristics: Principles and Practical Applications

This is P2P…

Spatially Structured Metaheuristics: Principles and Practical Applications

Can P2P really scale !?

Spatially Structured Metaheuristics: Principles and Practical Applications

Simulator

J.L.J. Laredo, A.E. Eiben, M. van Steen, J. J. Merelo. EvAg: a scalable peer-to-peer evolutionary algorithm.

Genetic Programming and Evolvable Machines , 11(2):227-246. 2010. Simulator conducted experimentation!!!

Spatially Structured Metaheuristics: Principles and Practical Applications

Simulator

Spatially Structured Metaheuristics: Principles and Practical Applications

Simulator

Spatially Structured Metaheuristics: Principles and Practical Applications

Simulator

Spatially Structured Metaheuristics: Principles and Practical Applications

https://forja.rediris.es/svn/geneura/drmWrapper

http://www.hlrs.de/systems/platforms/nec-nehalem-cluster

Spatially Structured Metaheuristics: Principles and Practical Applications

https://forja.rediris.es/svn/geneura/drmWrapper

http://www.hlrs.de/systems/platforms/nec-nehalem-cluster

Spatially Structured Metaheuristics: Principles and Practical Applications

1st large parallel P2P EA experiment188 computers x 8 cores x 2 threads = 3008 agents

Seamless scalability

1000par

seq

TT

upSpeed

Thanks for your attention