# Advanced Multi-Objective Optimization Algorithms

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/advanced-multi-objective-optimization-algorithms/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the application of evolutionary algorithms, surrogate modeling, and optimization techniques to solve multiobjective optimization problems. It covers topics such as genetic algorithms, Pareto fronts, Bayesian optimization, and the use of surrogate models like Kriging for engineering design. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t10848 |
| Works | 85 |

## Topic papers all

Showing 15 of 85.

- [Multi-objective optimization using genetic algorithms: A tutorial](https://scholariq.org/papers/multi-objective-optimization-using-genetic-algorithms-a-tutorial/)
- [Binary grey wolf optimization approaches for feature selection](https://scholariq.org/papers/binary-grey-wolf-optimization-approaches-for-feature-selection/)
- [Spotted hyena optimizer: A novel bio-inspired based metaheuristic technique for engineering applications](https://scholariq.org/papers/spotted-hyena-optimizer-a-novel-bio-inspired-based-metaheuristic-technique-for/)
- [Applying multi-objective genetic algorithms in green building design optimization](https://scholariq.org/papers/applying-multi-objective-genetic-algorithms-in-green-building-design/)
- [Emperor penguin optimizer: A bio-inspired algorithm for engineering problems](https://scholariq.org/papers/emperor-penguin-optimizer-a-bio-inspired-algorithm-for-engineering-problems/)
- [Binary ant lion approaches for feature selection](https://scholariq.org/papers/binary-ant-lion-approaches-for-feature-selection/)
- [Environmental/economic power dispatch using a fuzzified multi-objective particle swarm optimization algorithm](https://scholariq.org/papers/environmental-economic-power-dispatch-using-a-fuzzified-multi-objective-particle/)
- [An Integrated Framework for Optimization Under Uncertainty Using Inverse Reliability Strategy](https://scholariq.org/papers/an-integrated-framework-for-optimization-under-uncertainty-using-inverse/)
- [Large‐scale topology optimization using preconditioned Krylov subspace methods with recycling](https://scholariq.org/papers/large-scale-topology-optimization-using-preconditioned-krylov-subspace-methods/)
- [Prediction of surface roughness with genetic programming](https://scholariq.org/papers/prediction-of-surface-roughness-with-genetic-programming/)
- [Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies](https://scholariq.org/papers/improved-binary-particle-swarm-optimization-for-feature-selection-with-new/)
- [A New Local Search-Based Multiobjective Optimization Algorithm](https://scholariq.org/papers/a-new-local-search-based-multiobjective-optimization-algorithm/)
- [Optimization of constrained multiple-objective reliability problems using evolutionary algorithms](https://scholariq.org/papers/optimization-of-constrained-multiple-objective-reliability-problems-using/)
- [A Hybrid Genetic Algorithm With Wrapper-Embedded Approaches for Feature Selection](https://scholariq.org/papers/a-hybrid-genetic-algorithm-with-wrapper-embedded-approaches-for-feature/)
- [A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems](https://scholariq.org/papers/a-conceptual-comparison-of-several-metaheuristic-algorithms-on-continuous/)

## Topic primary papers

Showing 15 of 20.

- [Multi-objective optimization using genetic algorithms: A tutorial](https://scholariq.org/papers/multi-objective-optimization-using-genetic-algorithms-a-tutorial/)
- [A New Local Search-Based Multiobjective Optimization Algorithm](https://scholariq.org/papers/a-new-local-search-based-multiobjective-optimization-algorithm/)
- [MOEA/HD: A Multiobjective Evolutionary Algorithm Based on Hierarchical Decomposition](https://scholariq.org/papers/moea-hd-a-multiobjective-evolutionary-algorithm-based-on-hierarchical/)
- [Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm](https://scholariq.org/papers/multimodal-optimization-using-a-bi-objective-evolutionary-algorithm/)
- [Game Theory Based Evolutionary Algorithms: A Review with Nash Applications in Structural Engineering Optimization Problems](https://scholariq.org/papers/game-theory-based-evolutionary-algorithms-a-review-with-nash-applications-in/)
- [Finding multiple solutions for multimodal optimization problems using a multi-objective evolutionary approach](https://scholariq.org/papers/finding-multiple-solutions-for-multimodal-optimization-problems-using-a-multi/)
- [Study of population diversity of multiobjective evolutionary algorithm based on immune and entropy principles](https://scholariq.org/papers/study-of-population-diversity-of-multiobjective-evolutionary-algorithm-based-on/)
- [Angle-based constrained dominance principle in MOEA/D for constrained multi-objective optimization problems](https://scholariq.org/papers/angle-based-constrained-dominance-principle-in-moea-d-for-constrained-multi/)
- [Multiobjective optimization of an ultrasonic transducer using NIMBUS](https://scholariq.org/papers/multiobjective-optimization-of-an-ultrasonic-transducer-using-nimbus/)
- [Evolutionary Algorithms and Metaheuristics: Applications in Engineering Design and Optimization](https://scholariq.org/papers/evolutionary-algorithms-and-metaheuristics-applications-in-engineering-design/)
- [A two-stage evolutionary algorithm for large-scale sparse multiobjective optimization problems](https://scholariq.org/papers/a-two-stage-evolutionary-algorithm-for-large-scale-sparse-multiobjective/)
- [Parallel Evolutionary Computation for Solving Complex CFD Optimization Problems : A Review and Some Nozzle Applications](https://scholariq.org/papers/parallel-evolutionary-computation-for-solving-complex-cfd-optimization-problems/)
- [Gray Coding in Evolutionary Multicriteria Optimization: Application in Frame Structural Optimum Design](https://scholariq.org/papers/gray-coding-in-evolutionary-multicriteria-optimization-application-in-frame/)
- [Robust multi-response optimization considering location effect, dispersion effect, and model uncertainty using hybridization of NSGA-II and direct multi-search](https://scholariq.org/papers/robust-multi-response-optimization-considering-location-effect-dispersion-effect/)
- [Searching for local Pareto fronts based on the non-dominance range in the decision space](https://scholariq.org/papers/searching-for-local-pareto-fronts-based-on-the-non-dominance-range-in-the/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.