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Dynamic programming with meta-reinforcement learning: a novel approach for multi-objective optimization
Multi-objective optimization (MOO) endeavors to identify optimal solutions from a finite array of possibilities. In recent years, deep reinforcement...
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Adaptable multi-objective optimization framework: application to metal additive manufacturing
This work presents a novel adaptable framework for multi-objective optimization (MOO) in metal additive manufacturing (AM). The framework offers...
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Introduction to Multi-objective Optimization in Material Selections
It mainly summarizes and reviews the previous methods for material selection with multi-objective optimization, including Farag comprehensive method,...
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A multi-objective parameter optimization and decision-making method for multi-pass end milling with firefly algorithm and Markov clustering
Machining parameter optimization holds profound significance within the domain of milling operations, as the selection of these parameters can exert...
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A novel concept for multi-objective optimization of composite power transmission shafts
Shafts made of advanced composite materials and their applications in different fields are gaining momentum due to their optimized properties. This...
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Multi-objective optimized multi-path and multi-hop routing based on hybrid optimization algorithm in wireless sensor networks
Multi-path and multi-hop routing are multi-objective optimization problems involving multiple constraints that need to be addressed in the current...
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Automatic multi-documents text summarization by a large-scale sparse multi-objective optimization algorithm
Due to the exponential overflow of textual information in various fields of knowledge and on the internet, it is very challenging to extract...
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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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Multi-objective social group optimization for machining process
A multi-objective social group optimization (MOSGO) is proposed in this study as a method for resolving problems with multiple objectives. The...
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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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Introduction to Multi-objective Optimization in Material Selections
It mainly reviews and summarizes the previous methods for material selection with multi-objective optimization, including Farag comprehensive method,...
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Multi-objective Grey Wolf Optimization based self configuring wireless sensor network
Wireless Sensor Networks are essential for monitoring physical objects in smart systems powered by the Internet of Things. It gathers information by...
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Multi-objective optimization of geosynthetic-reinforced and pile-supported embankments
The design of geosynthetic-reinforced and pile-supported (GRPS) embankments is traditionally optimized by searching for the most cost-effective...
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Multi-objective optimization with majority voting ensemble of classifiers for prediction of HIV-1 protease cleavage site
HIV-1 protease cleavage site prediction of an amino acid sequence of Human Immune Deficiency Virus (HIV-1) type 1 has been the subject of intense...
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Repeatability Analysis on Multi-fidelity and Surrogate Model Based Multi-objective Optimization Algorithm
Physics-based multi-objective design is performed utilizing computationally expensive high-fidelity simulation models and an efficient...
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Study of optimization for material processing parameters by means of probabilistic methodology for multi-objective optimization
Optimization for material processing parameters is a typical problem of multi-objective optimization, therefore selection and use of proper...
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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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Fuzzy-Based Probabilistic Multi-objective Optimization for Material Selection
In this chapter, the probability-based method for multi-objective optimization (PMOO) is adopted to develop a rational fuzzy-related multi-objective...
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Dynamic prediction and multi-objective optimization on driving position of tunnel boring machine (TBM): an automated deep learning approach
This paper proposes an automated deep learning (AutoDL) framework for dynamic prediction and multi-objective optimization (MOO) on the driving...
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Multi-objective Hybrid Particle Swarm Optimization and its Application to Analog and RF Circuit Optimization
The presence of RF components in mixed-signal circuits make it a challenging task to resolve tradeoffs among performance specifications. In order to...
