Yi-Ming Ma (Xavier Ma) (Xavier-MaYiMing)

Xavier-MaYiMing

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Company:Beihang University

Location:Beijing, China

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Yi-Ming Ma (Xavier Ma)'s repositories

NSGA-III

Nondominated sorting genetic algorithm III is an improved version of the classic multi-objective evolutionary algorithm (MOEA) NSGA-II.

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A-NSGA-III

A-NSGA-III is an improved version of NSGA-III which can solve many-objective optimization problems (MaOPs) with irregular Pareto front.

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LMOCSO

Large-scale multi-objective competitive swarm optimizer.

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MMOPSO

Multi-objective particle swarm optimization algorithm using multiple search strategies.

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MODEA

Multi-objective differential evolution algorithm (MODEA) is a multi-objective evolution algorithm (MOEA) based on differential evolution (DE).

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AnD

A many-objective evolutionary algorithm with angle-based selection and shift-based density estimation

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MOEA_D-IEpsilon

Multi-objective evolutionary algorithm based on decomposition and improved epsilon constraint-handling mechanism. MOEA/D-IEpsilon is a constrained multi-objective evolutionary algorithm (CMOEA).

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RVEA

RVEA: Reference vector-guided evolution algorithm.

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SPEA2-SDE

Strength Pareto evolutionary algorithm 2 with shift-based density estimation s a multi-objective evolutionary algorithm (MOEA) and an improved version of SPEA2.

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Xavier-MaYiMing

Config files for my GitHub profile.

Fuzzy-Decision-Variable

FDV is a framework for large-scale multiobjective optimization (LSMOP). This work cooperates FDV with NSGA-II.

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HypE

Hypervolume estimation algorithm for multiobjective optimization

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IBEA

Indicator-based evolutionary algorithm (IBEA) is a classic multi-objective evolutionary algorithm (MOEA).

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SRA

Stochastic ranking-based multi-indicator algorithm is a many-objective evolutionary algorithm (MaOEA) which implements multiple indicators and stochastic ranking in environmental selection.

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AR-MOEA

An indicator-based multiobjective evolutionary algorithm with reference point adaptation

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CPDEA

Convergence-penalized density evolutionary algorithm is a multi-objective evolutionary algorithm (MOEA) to solve multi-modal multi-objective optimization problem (MMOPs) with imbalance between convergence and diversity in the decision space.

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Floyd-Warshall-Algorithm

The Floyd-Warshall algorithm for the shortest path problem

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NSLS

NSLS is a multi-objective evolution algorithm (MOEA) based on local search, nondominated sorting, and the farthest candidate method.

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PPS

Push and pull search is a constrained multi-objective evolutionary algorithm (CMOEA).

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RVEAa

RVEAa is an improved version of RVEA which can solve many-objective optimization problems (MaOPs) with irregular Pareto front.

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SRA2

Stochastic ranking-based multi-indicator algorithm with archive (SRA2) is an improved version of SRA with an external archive.

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LMWFO

Large-scale multiobjective water flow optimizer for large-scale multiobjective optimization problems.

MATLAB-GPU-Accelerated-Algorithms

Some evoluationary algorithms (e.g., genetic algorithm and water flow optimizer) using GPU.

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Variable-Neighborhood-Search

Variable neighborhood search for the traveling salesman problem.

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Bidirectional-Dijkstra-Algorithm

The python implementation of bidirection Dijkstra's algorithm

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Reinforcement-learning-and-combinatorial-optimzation

This repository will continuously update with examples of reinforcement learning and its applications in combinatorial optimization.

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