A modification to MOEA/D-DE for multiobjective optimization problems with complicated Pareto sets

No abstract is available for this paper.

• Publication year

  2012

• Venue

  Information Sciences

• Publication date

  2012-12-01

• Fields of study

  Mathematics, Computer Science, Engineering

• Identifiers
  DOI 10.1016/j.ins.2012.06.007
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Decomposition-Based Multiobjective Evolutionary Algorithm With an Ensemble of Neighborhood Sizes

  2012cited by this paper
• Two-lbests based multi-objective particle swarm optimizer

  2011cited by this paper
• A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

  2011cited by this paper
• Multiobjective evolutionary algorithms: A survey of the state of the art

  2011cited by this paper
• Convergence of multi-objective evolutionary algorithms to a uniformly distributed representation of the Pareto front

  2011cited by this paper
• Multi-objective optimization with artificial weed colonies

  2011cited by this paper
• C-PSA: Constrained Pareto simulated annealing for constrained multi-objective optimization

  2010cited by this paper
• On convergence of multi-objective Particle Swarm Optimizers

  2010cited by this paper
• Differential evolution in constrained numerical optimization: An empirical study

  2010cited by this paper
• Multi-objective evolutionary algorithms based on the summation of normalized objectives and diversified selection

  2010cited by this paper
• A dominance tree and its application in evolutionary multi-objective optimization

  2009cited by this paper
• Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II

  2009cited by this paper
• Multiobjective Immune Algorithm with Nondominated Neighbor-Based Selection

  2008cited by this paper
• Registration of CT and Intraoperative 3-D Ultrasound Images of the Spine Using Evolutionary and Gradient-Based Methods

  2008cited by this paper
• A real-coding jumping gene genetic algorithm (RJGGA) for multiobjective optimization

  2007cited by this paper
• MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition

  2007cited by this paper
• A Modification to the New Version of the Price’s Algorithm for Continuous Global Optimization Problems

  2006cited by this paper
• Multi-objective test problems, linkages, and evolutionary methodologies

  2006cited by this paper
• A review of multiobjective test problems and a scalable test problem toolkit

  2006cited by this paper
• Evolutionary many-objective optimisation: many once or one many?

  2005cited by this paper
• Quality improvement in the manufacture of liquid crystal displays using uniform design

  2004cited by this paper
• Handling multiple objectives with particle swarm optimization

  2004cited by this paper
• Uniform design: design, analysis and applications

  2004cited by this paper
• Ch. 4. Uniform experimental designs and their applications in industry

  2003cited by this paper
• Performance assessment of multiobjective optimizers: an analysis and review

  2003cited by this paper
• A fast and elitist multiobjective genetic algorithm: NSGA-II

  2002cited by this paper
• SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization

  2002cited by this paper
• Uniform design and its applications in chemistry and chemical engineering

  2001cited by this paper
• The effects of different experimental designs on parameter estimation in the kinetics of a reversible chemical reaction

  2000cited by this paper
• The Pareto Envelope-Based Selection Algorithm for Multi-objective Optimisation

  2000cited by this paper
• Optimal designs for experiments with mixtures: a survey

  2000cited by this paper
• Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach

  1999cited by this paper
• Nonlinear multiobjective optimization

  1998cited by this paper
• Number-theoretic methods in statistics

  1993cited by this paper
• Experiments with Mixtures: Designs, Models and the Analysis of Mixture Data

  1982cited by this paper
• EXPERIMENTS WITH MIXTURES: A REVIEW

  1973cited by this paper
• The Simplex‐Centroid Design for Experiments with Mixtures

  1963cited by this paper
• Experiments with Mixtures

  1958cited by this paper
• This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 1 RM-MEDA: A Regularity Model-Based Multiobjective Estimation of

  year unknowncited by this paper

• Optimizing Sustainability and Performance of Green Roofs in Qeytarieh, Tehran: A Multi-Objective Approach

  2025cites this paper
• Maritime Rescue Task Allocation and Sequencing Using MOEA/D with Adaptive Operators and Idle-Time-Aware Decoding Strategy

  2025cites this paper
• UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition

  2024cites this paper
• A Survey of Decomposition-Based Evolutionary Multi-Objective Optimization: Part I-Past and Future

  2024cites this paper
• Evolutionary Multitasking for Large-Scale Multiobjective Optimization

  2023cites this paper
• Solving constrained engineering design problems with multi-objective artificial algae algorithm

  2023cites this paper
• A Performance Indicator-Based Infill Criterion for Expensive Multi-/Many-Objective Optimization

  2023cites this paper
• Dynamic Neighborhood Adjustment Strategy for Multi-Objective Evolutionary Algorithm Based on Decomposition

  2023cites this paper
• Placement Approach for the Data Storage Management Function in a RAN-CN Converged Network

  2023cites this paper
• A Hybrid Algorithm for Multi-Objective Optimization - Combining a Biogeography-Based Optimization and Symbiotic Organisms Search

  2023cites this paper
• Railway Alignment Optimization Based on Multiobjective Bi-Level Programming Considering Ecological Impact

  2023cites this paper
• A General Optimization Method for Complex Requirements Antenna Based on Balanced Demotion MOEA

  2023cites this paper
• Multi-objective cooperative computation offloading for MEC in UAVs hybrid networks via integrated optimization framework

  2023cites this paper
• Multi-Objective Optimal Siting and Sizing of Distributed Generators and Shunt Capacitors Considering the Effect of Voltage-Dependent Nonlinear Load Models

  2023cites this paper
• A Localized High-Fidelity-Dominance-Based Many-Objective Evolutionary Algorithm

  2023cites this paper
• The Analysis of Environmental Cost Control of Manufacturing Enterprises Using Deep Learning Optimization Algorithm and Internet of Things

  2022cites this paper
• Adapting Decomposed Directions for Evolutionary Multiobjective Optimization

  2022cites this paper
• A Novel Image Recognition Method for Steel Material

  2022cites this paper
• Intelligent Adaptive Optimisation Method for Enhancement of Information Security in IoT-Enabled Environments

  2022cites this paper
• Dynamic economic emission dispatch through evolutionary multiobjective optimization: An experimental study

  2022cites this paper
• A new dynamic multi-objective evolutionary algorithm using heuristic strategies

  2022cites this paper
• Mathematical formulation and two-phase optimisation methodology for the constrained double-row layout problem

  2022cites this paper
• Multi-objective evolutionary optimization of unsupervised latent variables of turning process

  2022cites this paper
• Automatic Construction of Parallel Algorithm Portfolios for Multi-objective Optimization

  2022cites this paper
• Decomposition multi-objective optimisation: current developments and future opportunities

  2022cites this paper
• Swarm Intelligence Algorithms for Portfolio Optimization Problems: Overview and Recent Advances

  2022cites this paper
• A new evolutionism based self‐adaptive multi‐objective optimization method to predict software cost estimation

  2022influential citation
• Information-Theory-based Nondominated Sorting Ant Colony Optimization for Multiobjective Feature Selection in Classification

  2022cites this paper
• Supervised Multi-Objective Optimization Algorithm Using Estimation

  2022cites this paper
• Solving multi-structured problems by introducing linkage kernels into GOMEA

  2022cites this paper
• Multiple Power Supply Capacity Planning Research for New Power System Based on Situation Awareness

  2022cites this paper
• Multiobjective Optimization of Investments of two Businesses in Ghana

  2022cites this paper
• Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics

  2021cites this paper
• A soft computing based multi-objective optimization approach for automatic prediction of software cost models

  2021cites this paper
• Evolutionary Multiobjective Optimization for Automatic Agent-Based Model Calibration: A Comparative Study

  2021cites this paper
• NAAM-MOEA/D-Based Multitarget Firepower Resource Allocation Optimization in Edge Computing

  2021cites this paper
• A constrained multi-objective evolutionary strategy based on population state detection

  2021cites this paper
• University of Birmingham A grid-based inverted generational distance for multi/many-objective optimization

  2021cites this paper
• Multiobjective optimization of compensation networks for wireless power transfer systems

  2021cites this paper
• Enhanced Comprehensive Learning Particle Swarm Optimization with Dimensional Independent and Adaptive Parameters

  2021cites this paper
• Dynamic Rebalancing Optimization for Bike-Sharing System Using Priority-Based MOEA/D Algorithm

  2021cites this paper
• Multi-objective Optimizer with Collaborative Resource Allocation Strategy for U-shaped Stochastic Disassembly Line Balancing Problem

  2021cites this paper
• Non-dominated sorting on performance indicators for evolutionary many-objective optimization

  2021cites this paper
• EMOCGAN: a novel evolutionary multiobjective cyclic generative adversarial network and its application to unpaired image translation

  2021cites this paper
• An efficient solution strategy for bilevel multiobjective optimization problems using multiobjective evolutionary algorithm

  2021cites this paper
• Decomposition Multi-Objective Evolutionary Optimization: From State-of-the-Art to Future Opportunities

  2021cites this paper
• Many-Objective Evolutionary Algorithm With Reference Point-Based Fuzzy Correlation Entropy for Energy-Efficient Job Shop Scheduling With Limited Workers

  2021cites this paper
• Knee Point-Guided Multiobjective Optimization Algorithm for Microgrid Dynamic Energy Management

  2020cites this paper
• Multiplayer Noncooperative and Cooperative Minimax H∞ Tracking Game Strategies for Linear Mean-Field Stochastic Systems With Applications to Cyber-Social Systems

  2020cites this paper
• Good Things Come In Threes: Improving Search-based Crash Reproduction With Helper Objectives

  2020cites this paper
• Tri-Objective Compact Log-Periodic Dipole Array Antenna Design Using MOEA/D-GPSO

  2020cites this paper
• Incremental lattice design of weight vector set

  2020cites this paper
• Visual mapping of multi-objective optimization problems and evolutionary algorithms

  2020cites this paper
• Multi-objective metaheuristics for discrete optimization problems: A review of the state-of-the-art

  2020cites this paper
• Multiobjective Ecological Strategy Optimization for Two-Stage Disassembly Line Balancing With Constrained-Resource

  2020cites this paper
• Adaptive Operator Selection Based on Dynamic Thompson Sampling for MOEA/D

  2020cites this paper
• Enhancing MOEA/D with information feedback models for large-scale many-objective optimization

  2020cites this paper
• A Multi-objective Improved Squirrel Search Algorithm based on Decomposition with External Population and Adaptive Weight Vectors Adjustment

  2020cites this paper
• An easy-to-use real-world multi-objective optimization problem suite

  2020cites this paper
• EMERGING TELECOMMUNICATIONS TECHNOLOGIES

  2020cites this paper
• Adaptive Truncation technique for Constrained Multi-Objective Optimization

  2019cites this paper
• Path‐flow matching: Two‐sided matching and multiobjective evolutionary algorithm for traffic scheduling in cloud data* center network

  2019cites this paper
• Multi-objective biased randomised iterated greedy for robust permutation flow shop scheduling problem under disturbances

  2019cites this paper
• jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics

  2019cites this paper
• Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)

  2019cites this paper
• Active Robust Optimization: Optimizing for Robustness of Changeable Products

  2019cites this paper
• Active Robust Multi-objective Optimization

  2019cites this paper
• Solving Many-Objective Car Sequencing Problems on Two-Sided Assembly Lines Using an Adaptive Differential Evolutionary Algorithm

  2019cites this paper
• A Constrained Solution Update Strategy for Multiobjective Evolutionary Algorithm Based on Decomposition

  2019cites this paper
• An Improved Decomposition-based Multi-objective Evolutionary Algorithm with Enhanced Differential Evolution Strategy

  2019cites this paper
• Evaluating PSO and MOPSO Equipped with Evolutionary Population Dynamics

  2019cites this paper
• MOEA/D with Angle-based Constrained Dominance Principle for Constrained Multi-objective Optimization Problems

  2018cites this paper
• A Multi-Objective Genetic Algorithm Based on Fitting and Interpolation

  2018cites this paper
• The MOEADr Package - A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition

  2018influential citation
• MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns

  2018cites this paper
• Preference-Based Evolutionary Many-Objective Optimization for Agile Satellite Mission Planning

  2018cites this paper
• An analysis of control parameters of MOEA/D under two different optimization scenarios

  2018influential citation
• Adaptive Multiswarm Comprehensive Learning Particle Swarm Optimization

  2018cites this paper
• Simultaneous Optimization of Geometry and Firing Angles for In-Wheel Switched Reluctance Motor Drive

  2018cites this paper
• An improved MOEA/D design for many-objective optimization problems

  2018cites this paper
• Integration of Preferences in Decomposition Multiobjective Optimization

  2018cites this paper
• Self-adaptive multimethod optimization applied to a tailored heating forging process

  2018cites this paper
• Memory-Enhanced Dynamic Multi-Objective Evolutionary Algorithm Based on Lp Decomposition

  2018cites this paper
• Interactive Decomposition Multiobjective Optimization Via Progressively Learned Value Functions

  2018cites this paper
• A Diversity-Enhanced Resource Allocation Strategy for Decomposition-Based Multiobjective Evolutionary Algorithm

  2018cites this paper
• Xing, Huanlai and Wang, Zhaoyuan and Li, Tianrui and Li, Hui and Qu, Rong (2017) An improved MOEA/D algorithm for multi-objective multicast routing with network

  2018cites this paper
• An improved MOEA/D algorithm for multi-objective multicast routing with network coding

  2017cites this paper
• A decomposition-based binary ACO algorithm for the multiobjective UBQP

  2017influential citation
• Micro-time variant multi-objective particle swarm optimization (micro-TVMOPSO) of a solar thermal combisystem

  2017cites this paper
• An Improved MOEA/D with Optimal DE Schemes for Many-Objective Optimization Problems

  2017cites this paper
• Constraint Handling in NSGA-II for Solving Optimal Testing Resource Allocation Problems

  2017cites this paper
• An improved MOEA/D for multi-objective job shop scheduling problem

  2017cites this paper
• Integration of Preferences in Decomposition Multi-Objective Optimization

  2017cites this paper
• Test Problems for Large-Scale Multiobjective and Many-Objective Optimization

  2017cites this paper
• Multiswarm comprehensive learning particle swarm optimization for solving multiobjective optimization problems

  2017cites this paper
• Preselection via Classification: A Case Study on Evolutionary Multiobjective Optimization

  2017cites this paper
• Multiobjective differential evolution using homeostasis based mutation for application in software cost estimation

  2017cites this paper
• Search-based software library recommendation using multi-objective optimization

  2017cites this paper
• Pareto based differential evolution with homeostasis based mutation

  2017cites this paper
• DMOEA- $\varepsilon \text{C}$ : Decomposition-Based Multiobjective Evolutionary Algorithm With the $\varepsilon $ -Constraint Framework

  2017cites this paper