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Optimization for energy-aware design of task scheduling in heterogeneous distributed systems: a meta-heuristic based approach
The motivation of task scheduling in heterogeneous computing systems is the optimal management of heterogeneous distributed resources as well as the...
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Stochastic online decisioning hyper-heuristic for high dimensional optimization
Most existing heuristic optimizers are found to be restricted to problems of moderate dimensionality, and their performance suffers when solving...
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Modular Construction Planning Using Graph Neural Network Heuristic Search
In this paper we present a framework for learning to design and assemble modular structures using a search guided by a graph neural network heuristic...
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MBASE: Meta-heuristic Based optimized location allocation algorithm for baSE station in IoT assist wireless sensor networks
In an Internet of Things (IoT) assisted Wireless Sensor Network (WSN), the location of the Base Station (BS) remains important. BS serves as the...
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A Novel Meta-heuristic Search Based on Mutual Information for Filter-Based Feature Selection
Recent research has shifted its focus towards feature selection to improve model performance and reduce training costs, as high dimensional and noisy...
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Finding Maximum Weakly Stable Matchings for Hospitals/Residents with Ties Problem via Heuristic Search
The Hospitals/Residents with Ties Problem is a many-one stable matching problem, in which residents need to be assigned to hospitals to meet their...
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Feature selection using three-stage heuristic measures based on mutual fuzzy granularities
Mutual information is fundamental for feature selection, and relevant conditional and joint mutual fuzzy granularities (MFGs) characterize feature...
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A high-quality global routing algorithm based on hybrid topology optimization and heuristic search for data processing in MEC
With the development of Internet of Things (IoT), real-time decision making has gradually become one of the important characteristics in mobile edge...
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Cleaner fish optimization algorithm: a new bio-inspired meta-heuristic optimization algorithm
This paper proposes a new meta-heuristic optimization algorithm called Cleaner Fish Optimization algorithm (CFO) inspired by cleaner fish. The CFO...
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A deep reinforcement learning hyper-heuristic to solve order batching problem with mobile robots
In e-commerce logistics, it is critical to enhance the efficiency of the order-picking system. Motivated by applications of automatic logistics, we...
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Meta-heuristic based feature selection for aberration detection in human activity using smartphone inertial sensors
Wearable devices are equipped with inertial sensors that can collect motion data and provide objective measures of a person's physical activity....
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A comprehensive survey of convergence analysis of beetle antennae search algorithm and its applications
In recent years, swarm intelligence optimization algorithms have been proven to have significant effects in solving combinatorial optimization...
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Analysis of Learning Heuristic Estimates for Grid Planning with Cellular Simultaneous Recurrent Networks
Automated planning provides a powerful general problem solving tool, however, its need for a model creates a bottleneck that can be an obstacle to...
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A Hybrid Approach of Dijkstra’s Algorithm and A* Search, with an Optional Adaptive Threshold Heuristic
This study is a part of the trajectory planning applied to harvest system work where mobile robots must be able to navigate safely the environment to...
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Variable bit allocation method based on meta-heuristic algorithms for facial image compression
High spatial resolution is one of the most important factors in increasing image quality, but it increases the amount of storage memory. On the other...
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Black-winged kite algorithm: a nature-inspired meta-heuristic for solving benchmark functions and engineering problems
This paper innovatively proposes the Black Kite Algorithm (BKA), a meta-heuristic optimization algorithm inspired by the migratory and predatory...
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TKU-BChOA: an accurate meta-heuristic method to mine Top-k high utility itemsets
High utility itemset mining is an essential new task in data mining, which is obtained from the extension of frequent itemset mining problems. The...
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High-dimensional causal discovery based on heuristic causal partitioning
Causal discovery is one of the most important research directions in the field of machine learning, aiming to discover the underlying causal...
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A Heuristic Approach to Solve Author Name Ambiguity Using Minimum Bibliographic Evidences
This article proposed a method to solve the author’s name ambiguity problem using minimum available bibliographic evidence. Existing models are...
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Node Localization Optimization in WSNS by Using Cat Swarm Optimization Meta-Heuristic
AbstractThis paper proposed a new localization algorithm called centroid localization algorithm based on cat swarm optimization algorithm (CLA-CSO)....
