A comprehensive review of synthetic data generation in smart farming by using variational autoencoder and generative adversarial network
In this study, we propose the use of Variational Autoencoders (VAEs) and Generative
Adversarial Networks (GANs) to generate synthetic data for crop recommendation (CR). CR …
Adversarial Networks (GANs) to generate synthetic data for crop recommendation (CR). CR …
Gradient-based optimizer (gbo): a review, theory, variants, and applications
This paper introduces a comprehensive survey of a new population-based algorithm so-
called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as …
called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as …
A new arithmetic optimization algorithm for solving real-world multiobjective CEC-2021 constrained optimization problems: diversity analysis and validations
In this paper, a new Multi-Objective Arithmetic Optimization Algorithm (MOAOA) is proposed
for solving Real-World constrained Multi-objective Optimization Problems (RWMOPs). Such …
for solving Real-World constrained Multi-objective Optimization Problems (RWMOPs). Such …
MOMPA: Multi-objective marine predator algorithm
K Zhong, G Zhou, W Deng, Y Zhou, Q Luo - Computer Methods in Applied …, 2021 - Elsevier
In this paper, a multi-objective version of the recently proposed marine predator algorithm
(MPA) is presented, which is called the multi-objective marine predator algorithm (MOMPA) …
(MPA) is presented, which is called the multi-objective marine predator algorithm (MOMPA) …
Meta-heuristic search algorithms in truss optimization: Research on stability and complexity analyses
Although they are among the most researched real world engineering design problems, it is
encountered with significant problems in the optimization of structural truss bar problems …
encountered with significant problems in the optimization of structural truss bar problems …
Newton-Raphson-based optimizer: A new population-based metaheuristic algorithm for continuous optimization problems
Abstract The Newton-Raphson-Based Optimizer (NRBO), a new metaheuristic algorithm, is
suggested and developed in this paper. The NRBO is inspired by Newton-Raphson's …
suggested and developed in this paper. The NRBO is inspired by Newton-Raphson's …
MOTEO: A novel physics-based multiobjective thermal exchange optimization algorithm to design truss structures
The present study investigates a novel Multiobjective Thermal Exchange Optimization
(MOTEO) algorithm for truss design. Established on Newton's law of cooling framework, this …
(MOTEO) algorithm for truss design. Established on Newton's law of cooling framework, this …
Multi-objective optimization framework for optimal power flow problem of hybrid power systems considering security constraints
The hybrid model of the power system infrastructure is an essential part of the sophisticated
technology of the electrical network. Generally, for the Optimal Power Flow (OPF) problem …
technology of the electrical network. Generally, for the Optimal Power Flow (OPF) problem …
MOPGO: A new physics-based multi-objective plasma generation optimizer for solving structural optimization problems
This paper proposes a new Multi-Objective Plasma Generation Optimization (MOPGO)
algorithm, and its non-dominated sorting mechanism is investigated for numerous …
algorithm, and its non-dominated sorting mechanism is investigated for numerous …
MOMPA: Multi-objective marine predator algorithm for solving multi-objective optimization problems
This paper proposes a new multi-objective algorithm, called Multi-Objective Marine-Predator
Algorithm (MOMPA), dependent on elitist non-dominated sorting and crowding distance …
Algorithm (MOMPA), dependent on elitist non-dominated sorting and crowding distance …