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A Multiple Core Execution for Multiobjective Binary Particle Swarm...

Membrane computing is a theoretical model of computation inspired by the structure and functioning of cells. Membrane computing models naturally have parallel structure, and this fact is generally for...

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The Research of Disease Spots Extraction Based on Evolutionary Algorithm

According to the characteristics of maize disease spot performance in the image, this paper designs two-histogram segmentation method based on evolutionary algorithm, which combined with the analysis...

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A Novel Distributed Quantum-Behaved Particle Swarm Optimization

Quantum-behaved particle swarm optimization (QPSO) is an improved version of particle swarm optimization (PSO) and has shown superior performance on many optimization problems. But for now, it may not...

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A NNIA Scheme for Timetabling Problems

This paper presents a memetic multiobjective optimization algorithm based on NNIA for examination timetabling problems. In this paper, the examination timetabling problem is considered as a...

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A Genetic Algorithm Based Approach for Solving the Minimum Dominating Set of...

In the field of computing, combinatorics, and related areas, researchers have formulated several techniques for the Minimum Dominating Set of Queens Problem (MDSQP) pertaining to the typical chessboard...

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Improving the Fine-Tuning of Metaheuristics: An Approach Combining Design of...

Usually, metaheuristic algorithms are adapted to a large set of problems by applying few modifications on parameters for each specific case. However, this flexibility demands a huge effort to correctly...

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Robust Circle Detection Using Harmony Search

Automatic circle detection is an important element of many image processing algorithms. Traditionally the Hough transform has been used to find circular objects in images but more modern approaches...

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Metaheuristic Optimization: Algorithmic Design and Applications

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Hydrological Cycle Algorithm for Continuous Optimization Problems

A new nature-inspired optimization algorithm called the Hydrological Cycle Algorithm (HCA) is proposed based on the continuous movement of water in nature. In the HCA, a collection of water drops...

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On Metaheuristics for Solving the Parameter Estimation Problem in Dynamic...

This paper presents an experimental study that aims to compare the practical performance of well-known metaheuristics for solving the parameter estimation problem in a dynamic systems context. The...

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Multiobjective Simulation-Based Optimization Based on Artificial Immune...

Competitive market factors, such as more stringent government regulations, larger number of competitors, and shorter product life cycle, in recent years have created more significant pressure on the...

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A New Hybridization Approach between the Fireworks Algorithm and Grey Wolf...

The main aim of this paper is to present a new hybridization approach for combining two powerful metaheuristics, one inspired by physics and the other one based on bioinspired phenomena. The first...

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A Heuristic Approach for Optimal Planning and Operation of Distribution Systems

The efficient planning and operation of power distribution systems are becoming increasingly significant with the integration of renewable energy options into power distribution networks. Keeping...

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Optimizing Truck Visits to Container Terminals with Consideration of Multiple...

In this paper a new approach for designing a truck appointment system (TAS) at container terminals is proposed. While the vast majority of published research analyzes the TAS from the perspective of...

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Optimizing Testing-Resource Allocation Using Architecture-Based Software...

In the management of software testing, testing-recourse allocation is one of the most important problems due to the tradeoff between development cost and reliability of released software. This paper...

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A New Modified Three-Term Hestenes–Stiefel Conjugate Gradient Method with...

This paper describes a modified three-term Hestenes–Stiefel (HS) method. The original HS method is the earliest conjugate gradient method. Although the HS method achieves global convergence using an...

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HybridHAM: A Novel Hybrid Heuristic for Finding Hamiltonian Cycle

Hamiltonian Cycle Problem is one of the most explored combinatorial problems. Being an NP-complete problem, heuristic approaches are found to be more powerful than exponential time exact algorithms....

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Asymptotics for Optimal Design Problems for the Schrödinger Equation with a...

We study the problem of optimal observability and prove time asymptotic observability estimates for the Schrödinger equation with a potential in , with , using spectral theory. An elegant way to model...

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Jaya Algorithm Guided Procedure to Segment Tumor from Brain MRI

Brain abnormality is a cause for the chief risk factors in human society with larger morbidity rate. Identification of tumor in its early stage is essential to provide necessary treatment procedure to...

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Topology-Aware Strategy for MPI-IO Operations in Clusters

This paper presents the topology-aware two-phase I/O (TATP), which optimizes the most popular collective MPI-IO implementation of ROMIO. In order to improve the hop-bytes metric during the file access,...

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Extended GRASP-Capacitated -Means Clustering Algorithm to Establish...

Mexico is located within the so-called Fire Belt which makes it susceptible to earthquakes. In fact, two-thirds of the Mexican territory have a significant seismic risk. On the other hand, the...

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Theoretical Analysis of an Imprecise Prey-Predator Model with Harvesting and...

In our present paper, we formulate and study a prey-predator system with imprecise values for the parameters. We also consider harvesting for both the prey and predator species. Then we describe the...

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Optimum Design and Performance Analyses of Convective-Radiative Cooling Fin...

In this study, the optimum design dimensions and performance analyses of convective-radiative cooling fin subjected to magnetic field are presented using finite element method. The numerical solutions...

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Optimization for the Redundancy Allocation Problem of Reliability Using an...

This paper presents an enhanced and improved particle swarm optimization (PSO) approach to overcome reliability-redundancy allocation problems in series, series-parallel, and complex systems. The...

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Investigation of Bus Special Lane Performance Using Statistical Analysis and...

Nowadays, the performance analysis and evaluation of public transportation systems have great importance in traffic engineering science. So far, the bus system has not been very effective in some...

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Optimal Control Analysis of Treatment Strategies of the Dynamics of Cholera

A nine-compartment deterministic cholera model was formulated, and the model describes interactions between human, Vibrio cholerae bacteria, and the enviroment that warrant the interaction. Realities...

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An Optimization Model for the Student-to-Project Supervisor Assignment...

Purpose. Empirical studies on the topic of assigning university project students to supervisors are currently underexplored. Such studies are critical to success of both the students and the...

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Performance Optimization of Chemical and Green Coagulants in Tannery...

Vegetable tannery wastewater, highly laden with recalcitrant organics, is not easily treatable through biological processes. This study focuses on the use of response surface methodology in optimizing...

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Optimization of Deformation Behaviors during Continuous Forming Extrusion of...

Continuous extrusion (CE) is a method of creating endless profiles of high-quality products of dimensional accurateness, high productivity, and excellent material properties. The main objective of this...

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A Systematic Review of Linear Programming Techniques as Applied to Diet...

Background. Food provides the required nutrients for adequate growth and development. However, meeting the recommended nutrients while considering environmental sustainability can be complicated and...

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