A Novel Harmony Search Algorithm Based on Teaching-Learning Strategies for 0-1 Knapsack Problems [PDF]
To enhance the performance of harmony search (HS) algorithm on solving the discrete optimization problems, this paper proposes a novel harmony search algorithm based on teaching-learning (HSTL) strategies to solve 0-1 knapsack problems.
Shouheng Tuo +2 more
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Flexible Wolf Pack Algorithm for Dynamic Multidimensional Knapsack Problems [PDF]
Optimization problems especially in a dynamic environment is a hot research area that has attracted notable attention in the past decades. It is clear from the dynamic optimization literatures that most of the efforts have been devoted to continuous ...
Husheng Wu, Renbin Xiao
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An efficient optimizer for the 0/1 knapsack problem using group counseling [PDF]
The field of optimization is concerned with determining the optimal solution to a problem. It refers to the mathematical loss or gain of a given objective function.
Yazeed Yasin Ghadi +6 more
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This paper examines the performance of three binary metaheuristic algorithms when applied to two distinct knapsack problems (0–1 knapsack problems (KP01) and multidimensional knapsack problems (MKP)).
Mohamed Abdel-Basset +5 more
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Application of Black Hole Algorithm for Solving Knapsack Problems [PDF]
This study investigates the application of the Black Hole algorithm (BH) for solving 0–1 knapsack problems. Knapsack problem is a classic and famous problem for testing and analyzing the behavior of optimization and meta-heuristic algorithms. There is no
Abdolreza Hatamlou
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A novel approach for solving travelling thief problem using enhanced simulated annealing [PDF]
Real-world optimization problems are getting more and more complex due to the involvement of inter dependencies. These complex problems need more advanced optimizing techniques.
Hamid Ali +5 more
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Nature-inspired optimization algorithms in knapsack problem: A review [PDF]
Meta-heuristic algorithms have become an arising field of research in recent years. Some of these algorithms have proved to be efficient in solving combinatorial optimization problems, particularly knapsack problem.
Ghalya Tawfeeq Basheer, Zakariya Algamal
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Quantum-Inspired Differential Evolution with Grey Wolf Optimizer for 0-1 Knapsack Problem
The knapsack problem is one of the most widely researched NP-complete combinatorial optimization problems and has numerous practical applications. This paper proposes a quantum-inspired differential evolution algorithm with grey wolf optimizer (QDGWO) to
Yule Wang, Wanliang Wang
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Binary social group optimization algorithm for solving 0-1 knapsack problem [PDF]
In this paper, we propose the binary version of the Social Group Optimization (BSGO) algorithm for solving the 0-1 knapsack problem. The standard Social Group Optimization (SGO) is used for continuous optimization problems.
Anima Naik, Pradeep Kumar Chokkalingam
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Projects Selection In Knapsack Problem By Using Artificial Bee Colony Algorithm
One of the combinatorial optimization problems is Knapsack problem, which aims to maximize the benefit of objects whose weight not exceeding the capacity of knapsack.
Armaneesa Naaman Hasoon
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