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Shanghai Institute for Advanced Studies. CAS-MPG Partner Institute for Computational Biology / 2006-04-11. Evolution Strategy. How Nature Solves Problems. Ingo Rechenberg. 1. What Evolution Strategy does. 2 How Evolution Strategy works. What Evolution does. 1.
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Shanghai Institute for Advanced Studies CAS-MPG Partner Institute for Computational Biology / 2006-04-11 Evolution Strategy How Nature Solves Problems Ingo Rechenberg
1 What Evolution Strategy does 2How Evolution Strategy works
What Evolution does 1 Protoplasm lump in the primordial ocean
What Evolution does 2 From this the fish developed
What Evolution does 3 Life peeks out of the water and spreads over the country
What Evolution does 4 Our ancestors climb the treetops
What Evolution does 5 Finally we admire ourselves in the mirror
Windtunnel Flexible flow body Air flow Gear to adjust random mutations
DARWIN in the windtunnel The kink plate for the key experiment with the Evolution Strategy
Number of possible adjustments 515 =345 025 251
The experimentum crucis – Drag minimization of the kink plate
Zigzag after DARWIN Story in the Magazin 18th November 1964
Evolution of a 90° pipe bend Six manually adjustable shafts determine the form of a 90°pipe bend
Evolution of a two phase flow nozzle (Hans-Paul Schwefel)
Evolution Strategy today History
m' = Number of parental populations r' = Mixing number for populations l'= Number of offspring populations Haldane Fisher Wright g'= Number of population generations m = Number of parental individuals r = Mixing number for individuals l = Number of offspring individuals g =Generations of isolation Evolution-Strategy
(1+1)-ES DARWINs theory at the level of maximum abstraction
(1,l)-ES l = 6 Evolution Strategy with more than one offspring
(m,l)-ES m = 2 l = 7 Evolution Strategy with more parents and more offspring
(m/r,l)-ES m = 2 r = 2 l = 8 Evolution Strategy with mixing of variables
New founder populations The Nested Evolution Strategy
The notation will be an algebraic scheme
Photo: Michael Stache Multiwinglets at a glider designed with the Evolution Strategy
Darwin was very uncertain whether his theory is correct. He stated in his book „The Origin of Species“: To suppose that the eye, with all its inimitable contrivances for adjusting the focus to different distances, for admitting different amounts of light, and for the correction of spherical and chromatic abberation, could have been formed by natural selection, seems, I freely confess, absurd in the highest possible degree.
q F k d k Evolution of an eye lens Computer simulated evolution of a covergent lens Flexible glass body
Evolution-strategic optimization of a truss bridge with minimum weight
Lu Pu Bridge Bridge designs Fishbelly bridge Arched bridge
Melencolia, engraved in 1514 by Albrecht Dürer Chinese Magic Square
n n 1 2 3 n n n 4 5 6 n n n 7 8 9 Objective function for a 33-square ?
D max Minimum D min y x The min/max distance problem
Maximum distance = 1 Minimum distance 7 Points 12 Points ES-Solutions of the min/max-distance problem 27 Points 24 Points
Dmax = 6.707 Dmin Optimal swarm configuration of 48 individuals
Elements of the optimal structure Structure of the 48 individual swarm
2 How Evolution Strategy works
Search for a document (Search)Strategies are of no use in an disordered world (Search)Strategies need a predictable order of the world
Strategy in military operation A military strategy is of no use, if the enemy behaves randomly General
An evolution strategy is of no use, if nature (opponent) behaves randomly Evolution Strategist
A predictable world order is Causality Equal cause, equal effect Weak Causality Similar cause, not similar effect Strong Causality ! Similar cause, similar effect
Billiards-Effect Example for weak causality