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Multi-objective Genetic Algorithms
The goal of an optimization model is to identify the optimal values for decision variables with the objective of either maximizing or minimizing an...
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Performance evaluation of meta-heuristic algorithms for designing multi-objective multi-product multi-echelon supply chain network
The purpose of this paper is to develop and test three meta-heuristic algorithms to solve large size multi-objective supply chain network design...
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Hybrid multi-objective metaheuristic and possibilistic intuitionistic fuzzy c-means algorithms for cluster analysis
This study proposes a hybrid multi-objective meta-heuristics and possibilistic intuitionistic fuzzy c -means (PIFCM) algorithms for cluster analysis....
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Multi-objective Design of Blending Fuel by Intelligent Optimization Algorithms
Fuel design is a complex multi-objective optimization problem in which facile and robust methods are urgently demanded. Herein, a complete workflow...
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A Review on Constraint Handling Techniques for Population-based Algorithms: from single-objective to multi-objective optimization
Most real-world problems involve some type of optimization problems that are often constrained. Numerous researchers have investigated several...
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Simultaneous optimization of design and maintenance for systems using multi-objective evolutionary algorithms and discrete simulation
When projecting and building new industrial facilities, getting integrated design alternatives and maintenance strategies are of critical importance...
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An Overview of Simulation-Based Multi-objective Evolutionary Algorithms
This overview is a recent literature on simulation-based multi-objective evolutionary algorithms (SMOEAs) capable of handling stochastic multiple...
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Multi-objective Geometric Mean Optimizer (MOGMO): A Novel Metaphor-Free Population-Based Math-Inspired Multi-objective Algorithm
This research introduces a novel multi-objective adaptation of the Geometric Mean Optimizer (GMO), termed the Multi-Objective Geometric Mean...
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Quadrupole magnet design based on genetic multi-objective optimization
This work suggests to optimize the geometry of a quadrupole magnet by means of a genetic algorithm adapted to solve multi-objective optimization...
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Multi-objective optimum design of propellers using the blade element theory and evolutionary algorithms
A multi-objective optimum design of propellers is presented. Traditionally, the definition of propellers is done by choosing models that already...
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Priority-based multi-objective algorithms for green supply chain network design with disruption consideration
This research answers three current supply chain issues: demand variability, disruptions, and sustainability. We develop a multi-objective supply...
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An adaptive adjacent maximum distance crossover operator for multi-objective algorithms
Most genetic operators use random mating selection strategy and fixed rate crossover operator to solve various optimization problems. In order to...
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Multi-objective parametric optimization of a composite high-performance prostheses using metaheuristic algorithms
With the rapid advancement of technology and computing, numerous processes and products have been developed to achieve improved performance at a...
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A fast interpolation-based multi-objective evolutionary algorithm for large-scale multi-objective optimization problems
Evaluating large-scale multi-objective problems is usually time-consuming due to the vast number of decision variables. However, most of the existing...
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Multi-objective Evolutionary Algorithms for Coverage and Connectivity Aware Relay Node Placement in Cluster-Based Wireless Sensor Networks
Wireless sensor networks (WSNs) have been extensively explored due to their incredible capabilities and ever-growing field of applications. In...
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A dynamic tri-population multi-objective evolutionary algorithm for constrained multi-objective optimization problems
Balancing between the convergence, feasibility, and diversity of the population is the key to solving constrained multi-objective optimization...
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Sports mental health monitoring based on multi-objective evolutionary algorithms in the Internet of Things
With the increasing popularity of sports such as football and basketball, many policy reforms are striving to strengthen the education of sports...
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A Guide to Meta-Heuristic Algorithms for Multi-objective Optimization: Concepts and Approaches
Discovering the best solutions for issues where many, frequently competing objectives must be optimized simultaneously is the difficult task of...
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Optimization of ball mill cylinder structure based on response surface optimization module and multi-objective genetic algorithm
The cylinder mass affects the ball mill’s operation and economy. To reduce the mass of the current cylinder, this paper utilized a response surface...
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Multi-objective flow shop scheduling system based on wireless network genetic algorithm from perspective of artificial intelligence
With the continuous development of the economy, various enterprises pay more and more attention to the scheduling problem of multi-objective...
