Results 41 to 50 of about 88,565 (289)
Reinforcement learning based local search for grouping problems: A case study on graph coloring [PDF]
, 2016 Grouping problems aim to partition a set of items into multiple mutually disjoint subsets according to some specific criterion and constraints. Grouping problems cover a large class of important combinatorial optimization problems that are generally ...
Duval, Béatrice +2 more
core +5 more sources
A Hybrid Meta-Heuristic Algorithm based on Imperialist Competition Algorithm
Journal of Artificial Intelligence and Data Mining, 2016 The human has always been to find the best in all things. This Perfectionism has led to the creation of optimization methods. The goal of optimization is to determine the variables and find the best acceptable answer Due to the limitations of the problem, So that the objective function is minimum or maximum.
Roustaei, R., Yousefi Fakhr, F.
openaire +2 more sources
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 +1 more
doaj +1 more source
A meta-heuristic method to design off-grid community electrification projects with renewable energies [PDF]
, 2015 The design of off-grid electrification projects considering hybrid systems and distribution microgrids is a complex task that requires the use of decision support tools.
Ferrer Martí, Laia +3 more
core +2 more sources
Application of predator-prey optimization for task scheduling in cloud computing [PDF]
Journal of Mahani Mathematical ResearchCloud computing environments require scheduling to allocate resources efficiently and ensure optimal performance. It is possible to maximize resource utilization and minimize execution time by scheduling cloud systems effectively.
Zahra Jalali Khalil Abadi +3 more
doaj +1 more source
Advanced Science, EarlyView.Laterally spreading tumors (LSTs) are precancerous colorectal lesions characterized by a flat morphology. This study reveals a mechanochemical pathway through which a soft matrix microenvironment diminishes spatial constraints in intestinal adenomas. This process promotes deficiencies in tight junction proteins, mediated by the mechanoreceptor ADORA2B ...
Jiamin Zhong +21 more
wiley +1 more source
Web Content Extraction - a Meta-Analysis of its Past and Thoughts on its Future
, 2015 In this paper, we present a meta-analysis of several Web content extraction algorithms, and make recommendations for the future of content extraction on the Web.
Crescenzi, Valter +4 more
core +1 more source
Performance Review of Harmony Search,Differential Evolution and Particle Swarm Optimization [PDF]
, 2017 Metaheuristic algorithms are effective in the design of an intelligent system. These algorithms are widely applied to solve complex optimization problems, including image processing, big data analytics, language processing, pattern recognition and others.
Ali Musrrat +15 more
core +1 more source
Advanced Science, EarlyView.INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv +11 more
wiley +1 more source
Training a Feed-forward Neural Network with Artificial Bee Colony Based Backpropagation Method
, 2012 Back-propagation algorithm is one of the most widely used and popular techniques to optimize the feed forward neural network training. Nature inspired meta-heuristic algorithms also provide derivative-free solution to optimize complex problem. Artificial
Das, Achintya +2 more
core +1 more source