Nature-inspired algorithms and applied optimization.
- xi, 330 páginas ilustraciones
- Studies in computational intelligence ; 744 .
1.- Mathematical analysis of nature algorithms -- 2.- A review of no free lunch theorems, and their implications for metaheuristic optimization -- 3.- Global convergence analysis of cukoo search using markov theory -- 4.- On efficiently solving the vehicle routing problem with time windows using the bat algorithm with random reinsertion operators -- 5.- Variants of the flower pollination algorithm: a review -- 6.- On the hypercomplex-based search spaces for optimization purpose -- 7.- Lévy flight-driven simulated annealing for B-spline curve fitting -- 8.- A comprensive review of the flower pollination algorithm for solving engeering problems -- 9.- Bat algirthm and directional bat algorithm with case studies -- 10.- Applications of flower pollination algorithm in feature selection and knapsack problems -- 11.- Why the firefly algorithm works -- 12.- An efficient computational procedure for simultaneously generating alternatives to an optimal solution using the firefly algorithm -- 13.- Optimization of relay placement in wireless butterfly networks -- 14.- The bat algorithm, variants and some practical engineering applications: a review.-