An effective hybrid cuckoo search algorithm (CS) with improved shuffled frog-leaping algorithm (ISFLA) is put forward for solving 0-1 knapsack problem. First of all, with the framework of SFLA, an improved frog-leap operator is designed with the effect of the global optimal information on the frog leaping and information exchange between frog individuals combined with genetic mutation with a small probability. Subsequently, in order to improve the convergence speed and enhance the exploitation ability, a novel CS model is proposed with considering the specific advantages of Lévy flights and frog-leap operator. Furthermore, the greedy transformmethod is used to repair the infeasible solution and optimize the feasible solution. Finally, nume...
Lévy flights random walk is one of key parts in the cuckoo search (CS) algorithm to update individua...
Shuffled frog leaping algorithm (SFLA) is a meta-heuristic to handle different large-scale optimizat...
Cuckoo search is one of many nature-inspired algorithms used extensively to solve optimisation probl...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
Optimization techniques, specially metaheuristics, are constantly refined in order to decrease execu...
The Cuckoo search (CS) algorithm is an efficient evolutionary algorithm inspired by the nesting and ...
This paper proposes an improved cuckoo search (CS) algorithm combining nonlinear inertial weight and...
In this paper, a Cuckoo search algorithm, namely the New Movement Strategy of Cuckoo Search (NMS-CS)...
Cuckoo search algorithm (CSA) is an evolutionary optimization algorithm, which requires an additiona...
Cuckoo search algorithm is an emerging bionic intelligent algorithm, which has the shortages of low...
Abstract – As a novel optimization technique, chaos has gained much attention and some applications ...
Shuffled frog leaping algorithm is a memetic metaheuristic and population based intelligent inquiry ...
Knapsack problem is a combinatorial optimization problem, where a fixed-size Knapsack must be filled...
The discounted {0–1} knapsack problem may be a kind of backpack issue with gathering structure and r...
It is well known that optimization is becoming an important tool for solving science and engineering...
Lévy flights random walk is one of key parts in the cuckoo search (CS) algorithm to update individua...
Shuffled frog leaping algorithm (SFLA) is a meta-heuristic to handle different large-scale optimizat...
Cuckoo search is one of many nature-inspired algorithms used extensively to solve optimisation probl...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
Optimization techniques, specially metaheuristics, are constantly refined in order to decrease execu...
The Cuckoo search (CS) algorithm is an efficient evolutionary algorithm inspired by the nesting and ...
This paper proposes an improved cuckoo search (CS) algorithm combining nonlinear inertial weight and...
In this paper, a Cuckoo search algorithm, namely the New Movement Strategy of Cuckoo Search (NMS-CS)...
Cuckoo search algorithm (CSA) is an evolutionary optimization algorithm, which requires an additiona...
Cuckoo search algorithm is an emerging bionic intelligent algorithm, which has the shortages of low...
Abstract – As a novel optimization technique, chaos has gained much attention and some applications ...
Shuffled frog leaping algorithm is a memetic metaheuristic and population based intelligent inquiry ...
Knapsack problem is a combinatorial optimization problem, where a fixed-size Knapsack must be filled...
The discounted {0–1} knapsack problem may be a kind of backpack issue with gathering structure and r...
It is well known that optimization is becoming an important tool for solving science and engineering...
Lévy flights random walk is one of key parts in the cuckoo search (CS) algorithm to update individua...
Shuffled frog leaping algorithm (SFLA) is a meta-heuristic to handle different large-scale optimizat...
Cuckoo search is one of many nature-inspired algorithms used extensively to solve optimisation probl...