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Structural Optimization Using Shuffled Shepherd Meta-Heuristic Algorithm Extensions and Applications
This book presents the so-called Shuffled Shepherd Optimization Algorithm (SSOA), a recently developed meta-heuristic algorithm by authors. There is...
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Boxing Match Algorithm: a new meta-heuristic algorithm
This study presents a boxing match algorithm (BMA) as a new efficient meta-heuristic method to solve numerical optimization and NP-hard problems,...
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An efficient optimization method for transcendental eigenvalue problems based on mode count constraints and heuristic algorithm
An efficient, robust, and versatile optimization method (DSM-MCC-HA) is proposed for transcendental eigenvalue problems by combing the advantages of...
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Program synthesis algorithm based on context consistency heuristic
Programming-by-example (PBE) is a program synthesis technique that automatically synthesizes computer programs from input–output (I/O) examples....
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The Bedbug Meta-heuristic Algorithm to Solve Optimization Problems
Small parasitic Hemipteran insects known as bedbugs (Cimicidae) feed on warm-blooded mammal’s blood. The most famous member of this family is the Cimex...
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A novel obstacle avoidance heuristic algorithm of continuum robot based on FABRIK
Obstacle avoidance and path planning of continuum robots are challenging tasks due to the hyper-redundant degree of freedoms (DOFs) and restricted...
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A hyper-heuristic algorithm-based automatic monorail shuttle system for material feeding optimization in mixed-model assembly lines
In recent years, the automotive industry has witnessed the increasing adoption of mixed-model assembly lines (MMALs) to meet the demands of mass...
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Wind farm layout optimization approach using bio-inspired meta-heuristic algorithm to minimize wake effect
In this paper,wind farm layout optimization (WFLO) using bio-inspired meta-heuristic algorithm, i.e. artificial hummingbird optimization (AHO)...
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Surrogate Ensemble-Assisted Hyper-Heuristic Algorithm for Expensive Optimization Problems
This paper proposes a novel surrogate ensemble-assisted hyper-heuristic algorithm (SEA-HHA) to solve expensive optimization problems (EOPs). A...
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Customized influence maximization in attributed social networks: heuristic and meta-heuristic algorithms
The influence maximization problem is one of the most fundamental topics in social networks. However, most existing studies have focused on...
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A discrete time/resource trade-off problem with a critical chain method under uncertainty: a hybrid meta-heuristic algorithm
In recent years, the resource-constrained project scheduling problem and its variants have attracted wide attention from the perspective of theory...
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Solving the hierarchical windy postman problem with variable service costs using a math-heuristic algorithm
The Hierarchical Windy Postman Problem (HWPP) is an arc routing problem in which an order relation is imposed on the arcs/edges of the graph, and one...
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AGV monocular vision localization algorithm based on Gaussian saliency heuristic
To address the issues of poor detection accuracy and the large number of target detection model parameters in existing AGV monocular vision location...
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A two-stage surrogate-assisted meta-heuristic algorithm for high-dimensional expensive problems
This study proposes a two-stage surrogate-assisted meta-heuristic algorithm named SDAMA-SPS to solve computationally expensive problems with high...
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3S optimizer: a new meta‑heuristic global optimization algorithm
In this research, an original algorithm called 3S optimizer (3SO) is presented, which is inspired by swarm intelligence (SI) techniques. This novel...
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Nonlinear behaviour of a reinforced concrete building subjected to blast load and optimisation using a meta-heuristic algorithm
Standard structural design work, is a challenging and time-consuming operation. However, the cost increases significantly since there are so many...
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ACRA: Adaptive meta-heuristic based Clustering and Routing Algorithm for IoT-assisted wireless sensor network
Opportunistic routing is crucial for the development and management of an efficient and flexible network in Internet of Things (IoT) assisted...
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A Novel Training Approach in Deep Spiking Neural Network Based on Fuzzy Weighting and Meta-heuristic Algorithm
The challenge of supervised learning in spiking neural networks (SNNs) for digit classification from speech signals is examined in this study....
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Hybrid Meta-Heuristic Algorithm for a Pickup and Delivery Problem of Ship Outfitting Pallets Distribution Considering Carbon Emissions
Carbon emissions from ship outfitting pallet distribution account for a significant proportion of shipbuilding logistics. However, the complexity of...
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Geyser Inspired Algorithm: A New Geological-inspired Meta-heuristic for Real-parameter and Constrained Engineering Optimization
Over the past years, many efforts have been accomplished to achieve fast and accurate meta-heuristic algorithms to optimize a variety of real-world...
