Articles with "local optima" as a keyword



Modified Bat Algorithm: a newly proposed approach for solving complex and real-world problems

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Published in 2024 at "Soft Computing"

DOI: 10.1007/s00500-024-09761-5

Abstract: Bat Algorithm (BA) is a nature-inspired metaheuristic search algorithm designed to efficiently explore complex problem spaces and find near-optimal solutions. The algorithm is inspired by the echolocation behavior of bats, which acts as a signal… read more here.

Keywords: local optima; real world; algorithm; modified bat ... See more keywords

Statistical Inference with Local Optima

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Published in 2022 at "Journal of the American Statistical Association"

DOI: 10.1080/01621459.2021.2023550

Abstract: We study the statistical properties of an estimator derived by applying a gradient ascent method with multiple initializations to a multi-modal likelihood function. We derive the population quantity that is the target of this estimator… read more here.

Keywords: test; local optima; inference local; statistical inference ... See more keywords

Deep Reinforcement Learning-Based Mapless Navigation for Mobile Robot in Unknown Environment With Local Optima

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Published in 2025 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2024.3511437

Abstract: Local optima issues challenge mobile robots mapless navigation with the dilemma of avoiding collisions and approaching the target. Planning-based methods rely on environmental models and manual strategies to guide the robot. In contrast, learning-based methods… read more here.

Keywords: navigation; local optima; mapless navigation; learning based ... See more keywords
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Evaluating the Risk of Local Optima in Aerodynamic Shape Optimization

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Published in 2020 at "AIAA Journal"

DOI: 10.2514/1.j059826

Abstract: A gradient-based multistart method based on a set of 17 to 33 random initial geometries is used to examine the risk associated with multimodality when applying gradient-based optimization to aerody... read more here.

Keywords: risk; local optima; evaluating risk; risk local ... See more keywords

Task Allocation of Heterogeneous Multi-Unmanned Systems Based on Improved Sheep Flock Optimization Algorithm

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Published in 2024 at "Future Internet"

DOI: 10.3390/fi16040124

Abstract: The objective of task allocation in unmanned systems is to complete tasks at minimal costs. However, the current algorithms employed for coordinating multiple unmanned systems in task allocation tasks frequently converge to local optima, thus… read more here.

Keywords: task; unmanned systems; local optima; sheep flock ... See more keywords