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
The MO_Ring_PSO_SCD belongs to the category of multi-objective evolutionary algorithms (MOEAs). MO_Ring_PSO_SCD is a powerful algorithm to solve the multi-modal multi-objective optimization (MMO) problems.
Multi-objective differential evolution algorithm (MODEA) is a multi-objective evolution algorithm (MOEA) based on differential evolution (DE).
MOEA/D: Multi-objective evolutionary algorithm based on decomposition. MOEA/D is a representative framework of multi-objective evolution algorithms (MOEAs).
MOEA/D-DE: Multi-objective evolutionary algorithm based on decomposition and differential evolution. MOEA/D-DE is a classic multi-objective evolution algorithm (MOEA).
Multi-objective evolutionary algorithm based on decomposition and improved epsilon constraint-handling mechanism. MOEA/D-IEpsilon is a constrained multi-objective evolutionary algorithm (CMOEA).
MOEA/D-PBI: Multi-objective evolutionary algorithm based on decomposition and penalty-based boundary intersection approach.
Sort the population of multi-objective evolutionary algorithms (MOEAs) based on Pareto domination relation and special crowding distance.
Nondominated sorting genetic algorithm III is an improved version of the classic multi-objective evolutionary algorithm (MOEA) NSGA-II.
NSLS is a multi-objective evolution algorithm (MOEA) based on local search, nondominated sorting, and the farthest candidate method.
Push and pull search is a constrained multi-objective evolutionary algorithm (CMOEA).
RVEA: Reference vector-guided evolution algorithm.
RVEAa is an improved version of RVEA which can solve many-objective optimization problems (MaOPs) with irregular Pareto front.
Strength Pareto evolutionary algorithm 2 with shift-based density estimation s a multi-objective evolutionary algorithm (MOEA) and an improved version of SPEA2.
Stochastic ranking-based multi-indicator algorithm is a many-objective evolutionary algorithm (MaOEA) which implements multiple indicators and stochastic ranking in environmental selection.
Stochastic ranking-based multi-indicator algorithm with archive (SRA2) is an improved version of SRA with an external archive.
A self-organized speciation based multi-objective particle swarm optimizer (SS-MOPSO). SS-MOSPO is an algorithm to solve the multi-modal multi-objective optimization (MMO) problems.
Tabu search for traveling salesman problem (TSP)
The A* algorithm for the shortest path problem
The Dijkstra algorithm for the shortest path problem
The dual algorithm for the minimum cost flow problem