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inspired optimization » based optimization (Expand Search), constrained optimization (Expand Search)
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inspired optimization » based optimization (Expand Search), constrained optimization (Expand Search)
level optimization » global optimization (Expand Search), based optimization (Expand Search)
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Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation
Published 2023“…This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. …”
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Recent Advances of Chimp Optimization Algorithm: Variants and Applications
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An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm
Published 2021“…In this work, we use a biologically inspired genetic algorithm because crossover employed in such algorithm significantly improve the quality of multimodal discriminative set of features and hence improve the classification accuracy for diversified natural scene text images. …”
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GIJA:Enhanced geyser‐inspired Jaya algorithm for task scheduling optimization in cloud computing
Published 2024“…In this article, we introduce GIJA (Geyser‐inspired Jaya Algorithm), a novel optimization approach tailored for task scheduling in cloud computing environments. …”
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Maximum power point tracking of a standalone photovoltaic system using electromagnetic field optimization algorithm
Published 2023“…In this paper, a novel maximum power point tracking method based on a physics-inspired metaheuristic algorithm called Electromagnetic Field Optimization algorithm is proposed. …”
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Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems
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A Recent Advances of Bat-inspired Algorithm
Published 2022“…Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in many problem domains. …”
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A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)
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Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms
Published 2023“…Generally, the inventors attribute the novelties of these new algorithms to inspirations from either biology, human behaviors, physics, or other phenomena. …”
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Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting
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Multi-Agent Variational Approach for Robotics: A Bio-Inspired Perspective
Published 2023“…This study proposes an adaptable, bio-inspired optimization algorithm for Multi-Agent Space Exploration. …”
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Arithmetic optimization algorithm: a review and analysis
Published 2024“…As a result, it can perform diverse optimization tasks in different search spaces. This article reviews the behaviors of mathematics operations that inspire the main features of AOA, which is a metaheuristic algorithm. …”
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Hybrid Bio-Inspired Routing Algorithms for Scalable and Adaptive Wireless Ad Hoc Networks
Published 2025“…Largescale simulations in different conditions with research variability in terms of node mobility, scale and density-prove that the presented algorithm is more robust than standard bio-inspired protocol and standalone bio-inspired protocols. …”
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Whale optimization algorithm: analysis and full survey
Published 2024“…The whale optimization algorithm (WOA) is a metaheuristic algorithm inspired by the hunting behavior of humpback whales. …”
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Squirrel Search Algorithm for Portfolio Optimization
Published 2019“…However, the successes of nature-inspired algorithms in hard computational optimization problems have encouraged researchers to design and apply these algorithms for a variety of optimization problems. …”
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Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators
Published 2021“…In MGWO, new optimization operators inspired by the TRIZ-inventive solution are coupled with the original GWO to increase the diversity of the population. …”
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An Energy Efficient Wireless Sensor Network for Optimal Routing using Hybridized Bio-Inspired Technique
Published 2025“…While clustering techniques, such as Low Energy Adaptive Clustering Hierarchy (LEACH), help reduce energy usage, they suffer from inefficient local searches and poor exploration-exploitation balance.To address these limitations, this study proposes a hybrid bio-inspired optimization technique—Modified Harmony Search Algorithm (MHSA) combined with Competitive Swarm Optimization (CSO)—for optimal cluster head (CH) selection. …”
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Island flower pollination algorithm for global optimization
Published 2019“…Flower pollination algorithm (FPA) is a recent swarm-based evolutionary algorithm that was inspired by the biological evolution of pollination of the flowers. …”
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