Results 31 to 40 of about 28,713 (220)
SOLVING MULTIPLE-CONTAINER PACKING PROBLEMS USING PSEUDO-MEIOSIS GENETIC ALGORITHM
Knapsack problems are a class of common but difficult (NP-complete or NP -hard) problems. Since, it is believed that no knapsack problem algorithm can be constructed whose computation time optimality increases as any polynomial function of the problem ...
Bara'a Ali Attea +1 more
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Double-Decision Interactive Diversity Algorithm for Solving Multidimensional Knapsack Problems [PDF]
A double-decision interactive diversity algorithm called the DDEA is proposed to solve the problems of the single-repair method and poor adaptability of population dynamics in traditional solving algorithms for the Multidimensional Knapsack Problem(MKP ...
Dazhi PAN, Yan JIANG, Yawen LIU
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We consider a variant of the knapsack problem, where items are available with different possible weights. Using a separate budget for these item improvements, the question is: Which items should be improved to which degree such that the resulting classic knapsack problem yields maximum profit?
Marc Goerigk +3 more
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This paper presents a methodological scheme to obtain the maximum benefit in occupational health by attending to psychosocial risk factors in a company.
Marta Lilia Eraña-Díaz +5 more
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A Comparison of Greedy Algorithm and Dynamic Programming Algorithm [PDF]
Two algorithms to handle the problem include greedy algorithms and dynamic programming. Because of their simplicity, intuitiveness, and great efficiency in addressing problems, they are frequently employed in a variety of circumstances.
Chen Xiaoxi
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Hardness of Approximation for Knapsack Problems [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Harry Buhrman +2 more
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Generation Methods for Multidimensional Knapsack Problems and their Implications [PDF]
Although there are a variety of heuristics developed and applied to the variants of the binary knapsack problem, the testing of these heuristics are based on poorly defined test problems.
Raymond R. Hill, Chaitr Hiremath
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In this paper, we present some initial results of several meta-heuristic optimization algorithms, namely, genetic algorithms, simulated annealing, branch and bound, dynamic programming, greedy search algorithm, and a hybrid genetic algorithm-simulated ...
Absalom E. Ezugwu +4 more
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Topology Knapsack Problem for Geometry Optimization
The knapsack problem is a classic NP-hard optimization challenge with wide-ranging applications in computer science, such as resource allocation. While several variants have been developed, including the 0/1, fractional, and multi-dimensional knapsack ...
Hsiao-Hui Li +2 more
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A Novel Hybrid Cuckoo Search Algorithm with Global Harmony Search for 0–1 Knapsack Problems
Cuckoo search (CS) is a novel biologically inspired algorithm and has been widely applied to many fields. Although some binary-coded CS variants are developed to solve 0–1 knapsack problems, the search accuracy and the convergence speed are still needed ...
Yanhong Feng, Gai-Ge Wang, Xiao-Zhi Gao
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