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Cuckoo Algorithm
Optimization metaheuristic inspired by the brood parasitic behavior of cuckoos, using egg laying in nests of other species to find optimal solutions.
Lévy Flight
Random movement characterized by long-distance jumps following a Lévy distribution, enabling efficient exploration of the search space in the cuckoo algorithm.
Brood Parasitism
Biological behavior where cuckoos lay their eggs in the nests of other birds, serving as a fundamental mechanism for solution diversification in the algorithm.
Discovery Rate
Probabilistic parameter pa determining the probability that a host nest discovers a parasitic egg and rejects it, controlling the balance between exploration and exploitation.
Host Nest
Data structure representing a candidate solution in the algorithm, susceptible to receiving parasitic eggs (new solutions) or being abandoned.
Nest Fitness
Quality measure of a solution represented by a nest, evaluated through the objective function to determine its relative performance.
Egg Rejection
Mechanism eliminating low-quality solutions when a host nest detects a parasitic egg, simulating natural defensive behavior.
Cuckoo Migration
Process of cuckoos moving to new search territories, implemented through Lévy flights to avoid local optima.
Lévy Distribution
Stable probability law with heavy tails, generating random movements allowing occasional large-amplitude jumps in the search space.
Population Convergence
Tendency of solutions to cluster around a global optimum, measured by the genetic diversity of the nest population over iterations.
Cuckoo-PSO Hybridization
Combination of the cuckoo algorithm with particle swarm optimization, benefiting from Lévy exploration and PSO's directed exploitation.
Multi-objective Cuckoo
Extension of the cuckoo algorithm for simultaneous optimization of multiple conflicting objectives, using the Pareto front concept.
Lévy Neighborhood
Search area defined by the Lévy distribution around a current solution, determining the extent of possible movements for a cuckoo.
Nest Replacement
Update strategy where low-quality nests are replaced by newly generated solutions, ensuring constant renewal of the population.
Algorithmic Complexity
Theoretical measure of computational resources required by the cuckoo algorithm, typically O(n×d×max_iter) where n is the population and d the dimension.