Name: Yi-Ming Ma (Xavier Ma)
Type: User
Company: Beihang University
Bio: A Ph.D. student whose research interests lie in operations research, machine learning, multiobjective optimization, and fuzzy systems.
Location: Beijing, China
Yi-Ming Ma (Xavier Ma)'s Projects
A-NSGA-III is an improved version of NSGA-III which can solve many-objective optimization problems (MaOPs) with irregular Pareto front.
A modified particle swarm optimizer (AMPSO) for multi-modal multi-objective optimization (MMO)
A many-objective evolutionary algorithm with angle-based selection and shift-based density estimation
Ant Lion Optimizer
An indicator-based multiobjective evolutionary algorithm with reference point adaptation
The Bellman-Ford algorithm for the shortest path problem
The CCMO belongs to the category of multi-objective evolutionary algorithms (MOEAs). CCMO is a powerful algorithm to solve the constrained multiobjective optimization (CMO) problems.
A competitive mechanism based multi-objective particle swarm optimizer (CMOPSO)
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.
Some operational research problems solved by CPLEX and docplex
The Floyd-Warshall algorithm for the shortest path problem
The Ford-Fulkerson algorithm for the maximum flow problem
FDV is a framework for large-scale multiobjective optimization (LSMOP). This work cooperates FDV with NSGA-II.
Gravitational Search Algorithm
Hypervolume estimation algorithm for multiobjective optimization
Indicator-based evolutionary algorithm (IBEA) is a classic multi-objective evolutionary algorithm (MOEA).
Invasive Weed Optimization
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent