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#932 closed enhancement (done)

Implement Algorithms: Evolution Strategy

Reported by:	abeham	Owned by:	abeham
Priority:	high	Milestone:	HeuristicLab 3.3.0
Component:	Algorithms.EvolutionStrategy	Version:	3.3
Keywords:		Cc:

Description

We need an evolution strategy

Change History (16)

comment:1 Changed 14 years ago by abeham

Priority changed from major to critical
Status changed from new to assigned

comment:2 Changed 14 years ago by abeham

Added first version of ES in r3130

comment:3 Changed 14 years ago by abeham

Component changed from ### Undefined ### to Algorithms.EvolutionStrategy

comment:4 Changed 14 years ago by abeham

fixed a bug when there is no visualizer in r3146

comment:5 Changed 14 years ago by abeham

fixed a bug in ES in r3148 Also included some parameter sanity checks, still missing is a check that determines if the currently selected ParentsPerChild are valid with the currently selected recombinator. Especially the GA crossovers just allow 2 parents.

Maybe we need a property in ICrossover that an implementing crossover can override which says something about the maximum number of parents (bounded by int.MaxValue).

comment:6 Changed 14 years ago by abeham

added self adaptive crossover and mutation strength adjustment in r3183

comment:7 Changed 14 years ago by abeham

fixed selection of normal all positions adaptive mutation and crossover other than adaptive crossover in r3185

The SelfAdaptiveNormalAllPositionsManipulator is pretty ES specific, should it be moved to the ES namespace?

comment:8 Changed 14 years ago by abeham

TODO: Use the ProblemSize variable instead of the ES specific counterpart.

comment:9 Changed 14 years ago by abeham

fixed serialization bug in r3326

comment:10 Changed 14 years ago by abeham

r3336

The ProblemSize variable cannot be easily used from the algorithm, because it is not in IProblem and because not every problem has a problem size
Thus there have been some more extensive changes... take a look at the change set