For solving this problem, scholars have developed a number of algorithms, however, they are all have some drawbacks. This paper represents a fast Genetic Algorithm to solve the knapsack problem, and also demonstrate its feasibility and effectiveness throng an example.Megha Gupta...
Knapsack problemThis paper presents a novel binary bat algorithm (NBBA) to solve 0–1 knapsack problems. The proposed algorithm combines two important phases: binary bat algorithm (BBA) and local search scheme (LSS). The bat algorithm enables the bats to enhance the exploration capability while ...
In order to improve the speed and precision of the solution,Human evolutionary algorithm is used to solve Knapsack problems. The work process of algorithm is analyzed. The experimental results prove its feasibility and validity in solving Knapsack problems. Human evolutionary algorithm is more ...
Algorithm for fractional knapsack problem Algorithm and procedure to solve a longest common subsequence problem Midpoint Circle Algorithm Multistage graph problem with forward approach and backward approach algorithms Floyd Warshall algorithm with its Pseudo Code ...
Chapter 15 Hybrid Genetic Algorithms to Solve the Multidimensional Knapsack ProblemGenetic algorithmMultidimensional knapsack problemCore conceptGuided genetic algorithmHybrid genetic algorithmMemetic algorithmHeuristicsThis paper introduces solutions to deal with the Multidimensional Knapsack Problem (MKP)...
The proposed algorithm is used to solve knapsack problems; its work process is explained in the experiments. As knowledge subsystem provides the optimal solving method, such that the solution quality of BEA for the knapsack problem is much better than that of many other optimization algorithms that...
Bat algorithm has been paid more attention because of its excellent conversion ability between global search to local search and its high robustness. To solve the problem of 0–1 single knapsack problem, scholars introduced binary encoding on the basis o
We will present how we implement QTS to solve 0/1 knapsack problem. Furthermore, the results of experiments are also compared with other quantum-inspired evolutionary algorithm and other heuristic algorithms' experimental results. The final outcomes show that QTS performs much better than the other ...
Multi-dimensional knapsack problem is a classic NP-Hard combinatorial optimisitionproblem used to test the performance metaheuristics. In this coursework, you are asked towrite a C/C++ program to solve this problem using a memetic algorithm (a variant ofgenetic algorithm). In addition to submitting...
Parallel improved quantum inspired evolutionary algorithm to solve large size quadratic knapsack problems Swarm Evol. Comput. (2016) PisingerD. The quadratic knapsack problem–a survey Discrete and Applied Mathematics (2007) SchauerJ. Asymptotic behavior of the quadratic knapsack problem European J. ...