Results 31 to 40 of about 28,490 (215)
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
doaj +1 more source
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
doaj
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Investigation of The Effect of Feeding Period in Honey Bee Algorithm
In the study, it was investigated the ejaculation ability and semen quality of drones, according to feeding with pollen in different periods. In the first step of the study, 16 %, 32 %, 47 %, 63 %, 79 %, and 100 % feeding periods were applied to the ...
Mustafa Kaya
doaj +1 more source
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
doaj +1 more source
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
A Sequence-Based Hyper-Heuristic for Traveling Thieves
A plethora of combinatorial optimization problems can be linked to real-life decision scenarios. Even nowadays, more diverse and complex problems are popping up. One of these problems is the traveling thief problem (TTP), which combines elements from the
Daniel Rodríguez +3 more
doaj +1 more source
Terrestrial Cyborg Insects for Real‐Life Applications
This article reviews the development of terrestrial cyborg insects from their emergence in 1997 to mid‐2025, examining three key aspects: locomotion control methods, associated challenges with proposed solutions, and practical applications. Framing these biohybrid systems as insect‐scale mobile robots, the review provides foundational insights for new ...
Hai Nhan Le +10 more
wiley +1 more source

