Results 51 to 60 of about 8,018,297 (258)

An Enhanced Two-Level Metaheuristic Algorithm with Adaptive Hybrid Neighborhood Structures for the Job-Shop Scheduling Problem

Complexity, 2020
For solving the job-shop scheduling problem (JSP), this paper proposes a novel two-level metaheuristic algorithm, where its upper-level algorithm controls the input parameters of its lower-level algorithm.
Pisut Pongchairerks
doaj   +1 more source

KPLS Optimization With Nature-Inspired Metaheuristic Algorithms

IEEE Access, 2020
Kernel partial least squares regression (KPLS) is a technique used in several scientific areas because of its high predictive ability. This article proposes a methodology to simultaneously estimate both the parameters of the kernel function and the ...
Jorge Daniel Mello-Roman, Adolfo Hernandez   +1 more
doaj   +1 more source

Neural based hybrid metaheuristic technique for computing rotating transport of Falkner-Skan flow

Alexandria Engineering Journal, 2018
In present analysis we are focused on neural based hybrid metaheuristic technique for computing rotating transport of Falkner-Skan flow. We incorporate modeling of present problem using artificial neural network (ANN).
Z. Iqbal, Ehtsham Azhar, Zaffar Mehmood, Mirza Muhammad Sabir   +3 more
doaj   +1 more source

Leveraging large language model to generate a novel metaheuristic algorithm with CRISPE framework [PDF]

Cluster Computing
In this paper, we introduce the large language model (LLM) ChatGPT-3.5 to automatically and intelligently generate a new metaheuristic algorithm (MA) according to the standard prompt engineering framework CRISPE (i.e., Capacity and Role, Insight ...
Rui Zhong, Yue-Feng Xu, Chao Zhang, Jun Yu   +3 more
semanticscholar   +1 more source

Tuna Swarm Optimization: A Novel Swarm-Based Metaheuristic Algorithm for Global Optimization

Computational Intelligence and Neuroscience, 2021
In this paper, a novel swarm-based metaheuristic algorithm is proposed, which is called tuna swarm optimization (TSO). The main inspiration for TSO is based on the cooperative foraging behavior of tuna swarm.
Lei Xie, Tong Han, Huan Zhou, Zhuoran Zhang, Bo Han, An-Di Tang   +5 more
semanticscholar   +1 more source

Dataset - AutoMH: Automatically Create Evolutionary Metaheuristic Algorithms Using Reinforcement Learning

, 2022
Dataset Experiment 2: Comparison with other Metaheuristic ...
Boris Almonacid (4110337)
core   +1 more source

RRT-Based Optimizer: A Novel Metaheuristic Algorithm Based on Rapidly-Exploring Random Trees Algorithm

IEEE Access
Real-world optimization problems are becoming increasingly complex and require effective and versatile algorithms to provide reliable solutions. However, the no-free-lunch theorem indicates that no single optimization algorithm can solve all optimization
Guangjin Lai, Tao Li, Bao-Jun Shi
semanticscholar   +1 more source

A systematic literature review of diabetes prediction using metaheuristic algorithm-based feature selection: Algorithms and challenges method

Applied Computer Science
Diabetes is a disruption in metabolism that leads to elevated levels of glucose in the bloodstream and causes many other problems, such as stroke, kidney failure, heart, and nerve issues that are of serious concern globally.
Sirmayanti, Pulung Hendro PRASTYO, Mahyati, Farhan RAHMAN   +3 more
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Red Panda Optimization Algorithm: An Effective Bio-Inspired Metaheuristic Algorithm for Solving Engineering Optimization Problems

IEEE Access, 2023
This paper presents a new bio-inspired metaheuristic algorithm called Red Panda Optimization (RPO) that imitates the natural behaviors of red pandas in nature. The main design idea of RPO is derived from two characteristic natural behaviors of red pandas:
H. Givi, M. Dehghani, Š. Hubálovský
semanticscholar   +1 more source