Sequential algorithms [Algorithms]

Classes
class	ArtificialBeeColony
	Artificial Bee Colony algorithm (see e.g. http://www.scholarpedia.org/article/Artificial_bee_colony_algorithm)ABC algorithm accepts only a single FloatingPoint genotype (vector of real values). Additionally, it adds the following genotype for algorithm implementation: FloatingPoint genotype as trial (a cycle counter for each individual). More...
class	Clonalg
	Clonal Selection Algorithm (see e.g. http://en.wikipedia.org/wiki/Clonal_Selection_Algorithm).This CLONALG implements: cloning Versions: static cloning : n of the best antibodies are cloned beta*populationSize times proportional cloning: number of clones per antibody is proportional to that ab's fitness inversely proportional hypermutation : better antibodies are mutated less selectionSchemes: CLONALG1 - at new generation each antibody will be substituded by the best individual of its set of beta*population clones CLONALG2 - new generation will be formed by the best (1-d)*populationSize clones ( or all if the number of clones is less than that ) birthPhase: where d * populationSize of new antibodies are randomly created and added to the population for diversification. More...
class	DifferentialEvolution
	Differential evolution (DE) optimization algorithm (see e.g. http://en.wikipedia.org/wiki/Differential_evolution)DE algorithm accepts only a single FloatingPoint genotype (vector of real values). More...
class	Elimination
	Elimination (generation gap) algorithm with roulette wheel elimination selection operatorThis algorithm is genotype independent (it can be used with any Genotype). More...
class	EvolutionStrategy
	(mu/rho +/, lambda) - Evolution Strategy (ES) algorithm.This algorithm is genotype independent (it can be used with any Genotype). More...
class	GeneticAnnealing
	Genetic annealing algorithm (see e.g. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.7606, http://drdobbs.com/architecture-and-design/184409333?pgno=10)Currently implemented only for minimization problems! More...
class	OptIA
	Optimization Immune Algorithm (opt-IA, see e.g. http://www.artificial-immune-systems.org/algorithms.shtml).This opt-IA implements: static cloning: all antibodies are cloned dup times, making the size of the clone population equal dup * poplationSize inversely proportional hypermutation: better antibodies are mutated less static pure aging - if an antibody exceeds tauB number of trials, it is replaced with a new randomly created antibody birthPhase: if the number of antibodies that survive the aging Phase is less than populationSize, new randomly created abs are added to the population optional elitism. More...
class	Algorithm
	Algorithm base class. More...
class	ParticleSwarmOptimization
	Particle swarm optimization algorithm (see e.g. http://en.wikipedia.org/wiki/Particle_swarm_optimization)PSO algorithm accepts only a single FloatingPoint genotype (vector of real values). Additionally, it adds the following genotypes for algorithm implementation: FloatingPoint genotype as particle velocity FloatingPoint genotype as best-so-far position FloatingPoint genotype as best-so-far fitness value. More...
class	RandomSearch
	Random search algorithmThe algorithm flow: More...
class	RouletteWheel
	Generational algorithm with roulette wheel selection operatorThis algorithm is genotype independent (it can be used with any Genotype). More...
class	SteadyStateTournament
	Steady state algorithm with tournament elimination operatorThis algorithm is genotype independent (it can be used with any Genotype). More...