Results 31 to 40 of about 3,395,069 (243)

Comparison of Recent Meta-Heuristic Optimization Algorithms Using Different Benchmark Functions

Journal of Mathematical Sciences and Modelling, 2022
Meta-heuristic optimization algorithms are used in many application areas to solve optimization problems. In recent years, meta-heuristic optimization algorithms have gained importance over deterministic search algorithms in solving optimization problems.
Mahmut Dirik
doaj   +1 more source

Hybrid of Harmony Search Algorithm and Ring Theory-Based Evolutionary Algorithm for Feature Selection

IEEE Access, 2020
Feature Selection (FS) is an important pre-processing step in the fields of machine learning and data mining, which has a major impact on the performance of the corresponding learning models.
Shameem Ahmed, Kushal Kanti Ghosh, Pawan Kumar Singh, Zong Woo Geem, Ram Sarkar   +4 more
doaj   +1 more source

A deterministic tabu search algorithm for the capacitated arc routing problem [PDF]

, 2008
The capacitated arc routing problem (CARP) is a difficult optimisation problem in vehicle routing with applications where a service must be provided by a set of vehicles on specified roads.
Eglese, R W, Brandao, J
core   +4 more sources

Solving Large-Scale Function Optimization Problem by Using a New Metaheuristic Algorithm Based on Quantum Dolphin Swarm Algorithm

IEEE Access, 2019
Meta-heuristic algorithm has been a research hotspot in solving the optimal solution of large-scale functions. However, meta-heuristic algorithms are prone to fall into local optimum problems, such as the recently proposed dolphin swarm algorithm (DSA ...
Weibiao Qiao, Zhe Yang
doaj   +1 more source

A Search-Based Test Data Generation Method for Concurrent Programs

International Journal of Computational Intelligence Systems, 2020
Concurrent programs are being widely adopted in development of multi-core and many-core processors. However, these types of programs present some features such as concurrency, communication and synchronization which make their testing more challenging ...
Seyed Mohsen Mirhosseini, Hassan Haghighi   +1 more
doaj   +1 more source

A Deterministic Tabu Search Algorithm for the Capacitated Arc Routing Problem (CARP) [PDF]

, 2005
The Capacitated Arc Routing Problem (CARP) is a difficult optimisation problem in vehicle routing with applications where a service must be provided by a set of vehicles on specified roads.
Eglese, R W, Brandao, J
core   +4 more sources

Solving Energy-Aware Real-Time Tasks Scheduling Problem with Shuffled Frog Leaping Algorithm on Heterogeneous Platforms

Sensors, 2015
Reducing energy consumption is becoming very important in order to keep battery life and lower overall operational costs for heterogeneous real-time multiprocessor systems. In this paper, we first formulate this as a combinatorial optimization problem.
Weizhe Zhang, Enci Bai, Hui He, Albert M.K. Cheng   +3 more
doaj   +1 more source

Enhancing the contrast of the grey-scale image based on meta-heuristic optimization algorithm

, 2022
Image contrast enhancement (ICE) is an important step in image processing and analysis as the quality of an image plays a pivotal role in human understanding. Moreover, contrast is considered a key aspect for the assessment of picture quality. Incomplete
Sarkar, Ram, Bera, Suman Kumar, Ahmed, Shameem, Oliva, Diego, Mirjalili, Seyedali, Khan, Ali Hussain   +5 more
core   +1 more source

An efficient genetic algorithm for a hybrid flow shop scheduling problem with time lags and sequence-dependent setup time

Manufacturing Review, 2014
In this paper, a hybrid flow shop scheduling problem with a new approach considering time lags and sequence-dependent setup time in realistic situations is presented.
Farahmand-Mehr Mohammad, Fattahi Parviz, Kazemi Mohammad, Zarei Hassan, Piri Ali   +4 more
doaj   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source