Dwarf mongoose optimization algorithm
This paper proposes a new metaheuristic algorithm called dwarf mongoose optimization
algorithm (DMO) to solve the classical and CEC 2020 benchmark functions and 12 …
algorithm (DMO) to solve the classical and CEC 2020 benchmark functions and 12 …
Adaptive fuzzy output-feedback consensus tracking control of nonlinear multiagent systems in prescribed performance
This article addresses the finite-time consensus tracking control problem for nonlinear
multiagent systems (MASs), in which state variables are unmeasured and nonlinear …
multiagent systems (MASs), in which state variables are unmeasured and nonlinear …
A novel rough numbers based extended MACBETH method for the prioritization of the connected autonomous vehicles in real-time traffic management
Digital transformation can help to make better use of existing transportation networks that
are congested. One solution to the road congestion problem is real-time traffic management …
are congested. One solution to the road congestion problem is real-time traffic management …
Gradient-based optimizer improved by Slime Mould Algorithm for global optimization and feature selection for diverse computation problems
Optimization algorithms have shown significant advantages in solving diverse several real-
world problems, especially where are limitations in computations and hardware …
world problems, especially where are limitations in computations and hardware …
[HTML][HTML] Nonlinear marine predator algorithm: A cost-effective optimizer for fair power allocation in NOMA-VLC-B5G networks
This paper is an influential attempt to identify and alleviate some of the issues with the
recently proposed optimization technique called the Marine Predator Algorithm (MPA). With …
recently proposed optimization technique called the Marine Predator Algorithm (MPA). With …
A robust Tri-Objective optimization to supply chain configuration under Vendor-Managed inventory policy considering supply chain visibility
This paper presents a novel tri-objective robust Mixed-Integer Linear Programming (MILP) to
a two-echelon supply chain configuration. It simultaneously considers the Vendor-Managed …
a two-echelon supply chain configuration. It simultaneously considers the Vendor-Managed …
[HTML][HTML] Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm
Color medical images introduce an additional confounding factor compared to conventional
grayscale medical images: color variability. This variability can lead to inconsistent …
grayscale medical images: color variability. This variability can lead to inconsistent …
Spiral Gaussian mutation sine cosine algorithm: framework and comprehensive performance optimization
W Zhou, P Wang, AA Heidari, X Zhao… - Expert Systems with …, 2022 - Elsevier
Abstract Sine Cosine Algorithm (SCA), as a recently viral population-based meta-heuristic,
which is in the extensive application for a variety of optimization cases. Regardless of the …
which is in the extensive application for a variety of optimization cases. Regardless of the …
Minimizing Single-Family Homes' Carbon Dioxide Emissions and Life Cycle Costs: An Improved Billiard-Based Optimization Algorithm Approach
In recent years, research has focused on designing buildings with higher energy efficiency
and lower emissions by considering multiple objectives. This can impact financial savings …
and lower emissions by considering multiple objectives. This can impact financial savings …
Robust stability analysis for class of Takagi-Sugeno (TS) fuzzy with stochastic process for sustainable hypersonic vehicles
Recently, the rapid development of Unmanned Aerial Vehicles (UAVs) enables ecological
conservation, such as low-carbon and “green” transport, which helps environmental …
conservation, such as low-carbon and “green” transport, which helps environmental …