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Obstacle avoidance and path planning methods for autonomous navigation of mobile robot
Path planning creates the shortest path from the source to the destination based on sensory
information obtained from the environment. Within path planning, obstacle avoidance is a …
information obtained from the environment. Within path planning, obstacle avoidance is a …
Optimal design of solar/wind/energy storage system-powered RO desalination unit: single and multi-objective optimization
Abstract Hybrid Renewable Energy Systems (HRES), particularly those independent of the
grid and powered by wind and solar energy, have gained increased interest as potential …
grid and powered by wind and solar energy, have gained increased interest as potential …
[PDF][PDF] An overview of few nature inspired optimization techniques and its reliability applications
Optimization has been a hot topic due to its inevitably in the development of new algorithms
in almost every applied branch of Mathematics. Despite the broadness of optimization …
in almost every applied branch of Mathematics. Despite the broadness of optimization …
An improved particle swarm optimization algorithm for reliability-redundancy allocation problem with mixed redundancy strategy and heterogeneous components
The reliability–redundancy allocation problem (RRAP) has been intensively studied to
identify the optimal system design under several constraints, so as to maximize the system …
identify the optimal system design under several constraints, so as to maximize the system …
Large-scale reliability-redundancy allocation optimization problem using three soft computing methods
The industrial world is subject to various risks, whether traditional (technical, economic, or
societal risks) or emerging (informational or psychosocial risks). According to the …
societal risks) or emerging (informational or psychosocial risks). According to the …
Gray wolf optimizer approach to the reliability‐cost optimization of residual heat removal system of a nuclear power plant safety system
To ensure the safety of nuclear power plants (NPPs), nuclear regulatory agencies set
technical specifications (TSs). TSs define the safety‐related operational measures and …
technical specifications (TSs). TSs define the safety‐related operational measures and …
Multi-objective grey wolf optimizer approach to the reliability-cost optimization of life support system in space capsule
The purpose of this paper is to do the reliability-cost optimization of the life support system
(LSS) in a space capsule by using a multi-objective gray wolf optimizer algorithm (MOGWO) …
(LSS) in a space capsule by using a multi-objective gray wolf optimizer algorithm (MOGWO) …
Robust selective maintenance strategy under imperfect observations: A multi-objective perspective
T Jiang, Y Liu - IISE Transactions, 2020 - Taylor & Francis
Selective maintenance, as a pervasive maintenance policy in both military and industrial
environments, aims to achieve the maximum success of subsequent missions under limited …
environments, aims to achieve the maximum success of subsequent missions under limited …
Flower pollination algorithm development: a state of art review
The journey of a modern man from a troglodyte is due to human nature to try to unfold the
mysteries of nature to improve the lives of human beings. A few years back we even can't …
mysteries of nature to improve the lives of human beings. A few years back we even can't …
A multi-objective perspective to satellite design and reliability optimization
Abstract Development of a communication satellite project is highly complicated and
expensive which costs a few hundred million dollars depending on the mission in space …
expensive which costs a few hundred million dollars depending on the mission in space …