Results 31 to 40 of about 36,372,437 (161)

Solving Multidimensional 0-1 Knapsack Problem with Time-Free Tissue P Systems

Journal of Applied Mathematics, 2014
Tissue P system is a class of parallel and distributed model; a feature of traditional tissue P system is that the execution time of certain biological processes is very sensitive to environmental factors that might be hard to control.
Xiangrong Liu, Ziming Li, Juan Suo, Ying Ju, Juan Liu, Xiangxiang Zeng   +5 more
doaj   +1 more source

Binary light spectrum optimizer for knapsack problems: An improved model

Alexandria Engineering Journal, 2023
This paper presents a binary variant of a novel physics-based meta-heuristic optimization algorithm, namely Light spectrum optimizer (LSO), for tackling both the 0–1 knapsack (KP01) and multidimensional knapsack problems (MKP).
Mohamed Abdel-Basset, Reda Mohamed, Mohamed Abouhawwash, Ahmad M. Alshamrani, Ali Wagdy Mohamed, Karam Sallam   +5 more
doaj   +1 more source

Enhanced Group Theory-Based Optimization Algorithm for Solving Discounted {0-1} Knapsack Problem [PDF]

Jisuanji kexue yu tansuo
The group theory-based optimization algorithm (GTOA) is a discrete evolutionary algorithm designed by group theory methods, which is very suitable for solving combinatorial optimization problems with integer vectors as feasible solutions.
ZHANG Hansong, HE Yichao, WANG Jinghong, SUN Fei, LI Mingliang
doaj   +1 more source

Performance Optimization and Comprehensive Analysis of Binary Nutcracker Optimization Algorithm: A Case Study of Feature Selection and Merkle–Hellman Knapsack Cryptosystem

Complexity, 2023
In this paper, a binary variant of a novel nature-inspired metaheuristic algorithm called the nutcracker optimization algorithm (NOA) is presented for binary optimization problems.
Mohamed Abdel-Basset, Reda Mohamed, Ibrahim M. Hezam, Karam M. Sallam   +3 more
doaj   +1 more source

Dissecting the dissection laboratory: Elements for designing a human anatomy laboratory

Anatomical Sciences Education, EarlyView.
Abstract The human anatomy dissection laboratory is a critical component of anatomical and medical education. Development, maintenance, and stocking of these laboratory spaces have unique demands, with all of the challenges in running a laboratory with Biosafety Laboratory Level 2 (BSL‐2) classification, housing a large volume of tissues saturated with
Rhiannon E. Robinson, Abbey Breckling, Danielle N. Edwards, Nicole Geske, Burhan Gharaibeh, Bobbie J. Leeper, Molly Ostwald, Mary Schilling, Bridgett Severt, Kelsey Stevens, J. P. Swigart, Jonathan J. Wisco, Melissa Zolnierz, Jeremy J. Grachan   +13 more
wiley   +1 more source

Solving the 0-1 Knapsack Problem by Using Tissue P System With Cell Division

IEEE Access, 2019
Membrane computing is a kind of distributed and parallel computing model inspired by a biological cell mechanism. The maximum parallelism of membrane computing improves the computational efficiency of its computational model.
Lian Ye, Jinhang Zheng, Ping Guo, Mario J. Perez-Jimenez   +3 more
doaj   +1 more source

From pathogen to “living drug factory” innovative strategies and clinical translation of bacteria as programmable intelligent vectors for cancer therapy

BMEMat, EarlyView.
Engineered bacteria serve as smart, living therapeutics that target tumors, deliver drugs, and remodel immunosuppressive microenvironments. This review highlights their potential to potentiate immunotherapy, radiotherapy, and chemotherapy, offering a promising paradigm for precise and synergistic cancer treatment. Abstract The dynamic interplay between
Haonan Shen, Weichen Zhang, Gaoli Niu, Li Wang, Ruiyan Li, Yueyue Fan, Feixue Lu, Lingling Xu, Xiaoyuan Ji, Yong Kang   +9 more
wiley   +1 more source

Rewarded to Reject? Exploring Motivational Roots of Idea Rejection in Teams

Journal of Organizational Behavior, EarlyView.
ABSTRACT Teams hold the potential for creative performance, yet diverse perspectives may also lead to the premature rejection of unconventional ideas. Because such rejection can prevent teams from realizing their creative potential, understanding what motivational processes drive idea rejection during brainstorming is critical. Drawing on the Motivated
Matthias Felix Sinnemann, Matthias Michael Weiss, Julia Backmann   +2 more
wiley   +1 more source

Speeding up the 0–1 knapsack problem using Flying Fox Optimization Algorithm

Discover Applied Sciences
The 0–1 Knapsack Problem is a classical NP-hard combinatorial optimization problem widely used as a benchmark for evaluating optimization algorithms. In this study, the Flying Fox Optimization Algorithm (FFOA), a nature-inspired metaheuristic based on ...
Farnaz Hoseini, Abbas Mirzaei
doaj   +1 more source

A Hybridization of Dragonfly Algorithm Optimization and Angle Modulation Mechanism for 0-1 Knapsack Problems

Entropy, 2021
The dragonfly algorithm (DA) is a new intelligent algorithm based on the theory of dragonfly foraging and evading predators. DA exhibits excellent performance in solving multimodal continuous functions and engineering problems.
Lin Wang, Ronghua Shi, Jian Dong
doaj   +1 more source