AbstractIn this paper, a hybrid artificially glowworm swarm optimization algorithm to solve multidimensional 0-1 knapsack problem is proposed. The algorithm utilizes two important strategies, how to select the item based on its unit volume value and the binary glowworm swarm optimization algorithm, 37 multidimensional 0-1 knapsack test instances are tested by the produced algorithm, The integrated performance of the produced algorithm is rather satisfied, and the hybrid glowworm swarm optimization algorithm is rather efficient for solving multidimensional 0-1 knapsack problem
The discounted {0–1} knapsack problem may be a kind of backpack issue with gathering structure and r...
Abstract—Glowworm swarm optimization (GSO) algorithm is a new intelligent optimization algorithm. Ba...
In this work, a new hybrid heuristic algorithm for the 0/1 multidimensional knapsack problem is prop...
In order to optimize the knapsack problem further, this paper proposes an innovative model based on ...
Purpose: The purpose of the study is to investigate how to solve for multi-dimensional knapsack prob...
Purpose: The purpose of the study is to investigate how to solve for multi-dimensional knapsack prob...
Purpose: The purpose of the study is to investigate how to solve for multi-dimensional knapsack prob...
When we talk about optimization, we mean to get the best or the optimal solutions from some set of a...
Particle swarm optimization is a heuristic and stochastic technique inspired by the flock of birds w...
The artificial fish swarm algorithm has recently been emerged in continuous global optimization. It...
Glowworm Swarm Optimization (GSO) algorithm is a derivative-free, meta-heuristic algorithm and mimic...
In this paper, a novel hybrid glowworm swarm optimization (HGSO) algorithm is proposed. Firstly, the...
AbstractMultidimensional knapsack problem (MKP) is an NP-hard problem, the goal of which is to find ...
In this paper, The Multidimensional Knapsack Problem (MKP) which occurs in many different applicatio...
4th International Conference on Problems of Cybernetics and Informatics (PCI) -- SEP 12-14, 2012 -- ...
The discounted {0–1} knapsack problem may be a kind of backpack issue with gathering structure and r...
Abstract—Glowworm swarm optimization (GSO) algorithm is a new intelligent optimization algorithm. Ba...
In this work, a new hybrid heuristic algorithm for the 0/1 multidimensional knapsack problem is prop...
In order to optimize the knapsack problem further, this paper proposes an innovative model based on ...
Purpose: The purpose of the study is to investigate how to solve for multi-dimensional knapsack prob...
Purpose: The purpose of the study is to investigate how to solve for multi-dimensional knapsack prob...
Purpose: The purpose of the study is to investigate how to solve for multi-dimensional knapsack prob...
When we talk about optimization, we mean to get the best or the optimal solutions from some set of a...
Particle swarm optimization is a heuristic and stochastic technique inspired by the flock of birds w...
The artificial fish swarm algorithm has recently been emerged in continuous global optimization. It...
Glowworm Swarm Optimization (GSO) algorithm is a derivative-free, meta-heuristic algorithm and mimic...
In this paper, a novel hybrid glowworm swarm optimization (HGSO) algorithm is proposed. Firstly, the...
AbstractMultidimensional knapsack problem (MKP) is an NP-hard problem, the goal of which is to find ...
In this paper, The Multidimensional Knapsack Problem (MKP) which occurs in many different applicatio...
4th International Conference on Problems of Cybernetics and Informatics (PCI) -- SEP 12-14, 2012 -- ...
The discounted {0–1} knapsack problem may be a kind of backpack issue with gathering structure and r...
Abstract—Glowworm swarm optimization (GSO) algorithm is a new intelligent optimization algorithm. Ba...
In this work, a new hybrid heuristic algorithm for the 0/1 multidimensional knapsack problem is prop...