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Evolution With Constraints, Locus n, Allele "1", Allele "…
Evolution With Constraints
Reminders
Evolution Theory (Darwinism)
Genetic programming
.
Solving difficult, combinatorial, multi-objective optimization problems
Selection Operator
1
Fitness Function
Mutation Operator
.
Population/Generation n+1
repeat
1 more item...
Solution!
Crossover Operator
3
Genetic Algorithms
Evolution Strategies
Constraints Satisfaction Problem
The user states the problem, the computer solves it
Variables
Discrete variables
Symbolic variables
List / Range of integers
List of reals
Continuous variables
List / Range of reals
List / Range of integers
Domains
Time
Performance
.
Numerical
Symbolic
Discrete
Continuous
Reference
Constraints
Activity constraints
Compatibility constraints
Solving / Optimizing algorithms
Variable ordering
Propagation of choices
Systematic research
Smart
Filtering algorithms
variable 1
variable 2
prune inconsistent values
Reduced search space / Faster convergence
variable n
Combined with solving/optimizing methods
computational time decreased
Coupling EA and CSP
Implementing methods to satisfy constraints
through an evolutionary algorithm
Penalty Function
Add level of constraint violation to fitness function
Repairing Method
Moving unfitting individuals to feasable space
Implementing constraints as objective functions
Implementing specific operators
Crossing over with consistency checks and backtracking
Preservation of individual viability
Locus n
and
Locus 2
and
Locus 1
Allele "F"
makes
Gene 1
and
Allele "1"
or
Allele "2"
or
Gene i
and
Chromosome A
and
Allele "A"
makes
Gene 2
and
Chromosome X
and
Individual 1
and
Individual N
and
Individual 3
and
Population/Generation n
2