A review of multi-objective optimization: methods and algorithms in mechanical engineering problems
JLJ Pereira, GA Oliver, MB Francisco… - … Methods in Engineering, 2022 - Springer
The optimization problems that must meet more than one objective are called multi-objective
optimization problems and may present several optimal solutions. This manuscript brings …
optimization problems and may present several optimal solutions. This manuscript brings …
A survey of multi-objective optimization in wireless sensor networks: Metrics, algorithms, and open problems
Wireless sensor networks (WSNs) have attracted substantial research interest, especially in
the context of performing monitoring and surveillance tasks. However, it is challenging to …
the context of performing monitoring and surveillance tasks. However, it is challenging to …
Covid-19 outbreak prediction with machine learning
Several outbreak prediction models for COVID-19 are being used by officials around the
world to make informed decisions and enforce relevant control measures. Among the …
world to make informed decisions and enforce relevant control measures. Among the …
Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
This work proposes two novel optimization algorithms called Salp Swarm Algorithm (SSA)
and Multi-objective Salp Swarm Algorithm (MSSA) for solving optimization problems with …
and Multi-objective Salp Swarm Algorithm (MSSA) for solving optimization problems with …
Multi-objective grey wolf optimizer: a novel algorithm for multi-criterion optimization
Due to the novelty of the Grey Wolf Optimizer (GWO), there is no study in the literature to
design a multi-objective version of this algorithm. This paper proposes a Multi-Objective …
design a multi-objective version of this algorithm. This paper proposes a Multi-Objective …
Efficient large-scale multiobjective optimization based on a competitive swarm optimizer
There exist many multiobjective optimization problems (MOPs) containing a large number of
decision variables in real-world applications, which are known as large-scale MOPs. Due to …
decision variables in real-world applications, which are known as large-scale MOPs. Due to …
A competitive mechanism based multi-objective particle swarm optimizer with fast convergence
In the past two decades, multi-objective optimization has attracted increasing interests in the
evolutionary computation community, and a variety of multi-objective optimization algorithms …
evolutionary computation community, and a variety of multi-objective optimization algorithms …
Crystal structure prediction via particle-swarm optimization
We have developed a method for crystal structure prediction from “scratch” through particle-
swarm optimization (PSO) algorithm within the evolutionary scheme. PSO technique is …
swarm optimization (PSO) algorithm within the evolutionary scheme. PSO technique is …
Robust design optimization and emerging technologies for electrical machines: Challenges and open problems
The bio-inspired algorithms are novel, modern, and efficient tools for the design of electrical
machines. However, from the mathematical point of view, these problems belong to the most …
machines. However, from the mathematical point of view, these problems belong to the most …
Swarm intelligence
J Kennedy - Handbook of nature-inspired and innovative computing …, 2006 - Springer
Swarm intelligence refers to a kind of problem-solving ability that emerges in the interactions
of simple information-processing units. The concept of a swarm suggests multiplicity …
of simple information-processing units. The concept of a swarm suggests multiplicity …