Work on leveraging optimization with mixed individual and social learning appears on Applied Soft Computing

Work on leveraging optimization with mixed individual and social learning appears on Applied Soft Computing

Our work on leveraging optimization with mixed individual and social learning in CGO appears on Applied Soft Computing. You can free access to the article through this link. X.-F. Xie, Z.-J. Wang. Cooperative group optimization with ants (CGO-AS): Leverage optimization with mixed individual and social learning. Applied Soft Computing, 2017, 50: 223-234. [DOI] We present CGO-AS, a generalized Ant System (AS) implemented in the framework of Coopera

Presented our work on combinatorial optimization at International Joint Conference on Artificial Intelligence (IJCAI)

Presented our work on combinatorial optimization at International Joint Conference on Artificial Intelligence (IJCAI)

We presented our work on exploiting problem structure in combinatorial landscapes at the 25th International Joint Conference on Artificial Intelligence (IJCAI), New York. X.-F. Xie, Z.-J. Wang. Exploiting problem structure in combinatorial landscapes: A case study on pure mathematics application. International Joint Conference on Artificial Intelligence (IJCAI), New York, NY, USA, 2016: 2683-2689.   IJCAI is the premier conference bringing togeth

Work on Unified Route Choice Framework was published on Transportation Research Record

Work on Unified Route Choice Framework was published on Transportation Research Record

The unified route choice framework integrates route choice  (RCS) and traffic control systems (TCS) to mitigate congestion in urban road networks for achieving sustainable urban mobility. Unified route choice framework: Specification and application to urban traffic control. Transportation Research Record: Journal of the Transportation Research Board, 2014, 2466: 105-113. [DOI] Abstract: The route choice system and the traffic control system (TCS)

Work with the Polymath project was published on Algebra & Number Theory

Work with the Polymath project was published on Algebra & Number Theory

The work with the Polymath project was published on Algebra & Number Theory. D. H. J. Polymath. New equidistribution estimates of Zhang type. Algebra & Number Theory, 2014, 8(9): 2067-2199. [DOI] Polymath8a authors: Wouter Castryck, Etienne Fouvry, Gergely Harcos, Emmanuel Kowalski, Philippe Michel, Paul Nelson, Eytan Paldi, Janos Pintz, Andrew V. Sutherland, Terence Tao, Xiao-Feng Xie Abstract: We prove distribution estimates for primes

Technology Computer-Aided Design (TCAD)

Technology Computer Aided Design (TCAD) is a branch of electronic design automation (EDA) that models semiconductor fabrication and semiconductor device operation. Modeling and Optimization for Semiconductor Devices and Processes Response surface methodology, metaheuristic search strategies, cooperative group optimization algorithms, and machine learning methods were applied for modeling and optimization for semiconductor devices and processes.  

Work with the Polymath project was published on Research in the Mathematical Sciences

Work with the Polymath project was published on Research in the Mathematical Sciences

The work with the Polymath project was published on Research in the Mathematical Sciences. D. H. J. Polymath. Variants of the Selberg sieve, and bounded intervals containing many primes.Research in the Mathematical Sciences, 2014, 1(12): 1-83. [DOI] Here is the list of Polymath8b authors (arranged in alphabetical order of surname): Ignace Bogaert, Aubrey de Grey, Gergely Harcos, Emmanuel Kowalski, Philippe Michel, James Maynard, Paul Nelson, Pace

Work on cooperative group optimization system was published on Soft Computing

Work on cooperative group optimization system was published on Soft Computing

The cooperative group optimization system (CGOS) consists of a group of compact agents cooperating with their peers in a sharing environment for realizing a common intention of finding high-quality solution(s) based on the internal landscape representation of an optimization task. Xiao-Feng Xie, Jiming Liu, Zun-Jing Wang. A cooperative group optimization system. Soft Computing, 2014, 18(3): 469-495. [DOI] Abstract: A cooperative group optimizatio

(Constrained) Numerical Optimization Problem (NOP)

Applications: Opitmization and Systhesis for Semiconductor Devices; Engineer Optimization Problems Related Frameworks: Swarm Algorithm Framework (SWAF) Related Algorithms: (Parallel) Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Differential Evolution (DE), Social Cognitive Optimization (SCO), and Electromagnetism-like Mechanism (EM) Heuristic, etc. Related Techniques: Boundary Constraints & Equality Constraints Handling Methods

Work on solving the Graph Coloring Problem was published on Journal of Combinatorial Optimization

Work on solving the Graph Coloring Problem was published on Journal of Combinatorial Optimization

MAOS-GCP is a cooperative group optimization system for solving the Graph Coloring Problem (GCP). It has been tested and achieved optimal solutions efficiently for large-scale instances. The binary code can be downloaded from the portal. Xiao-Feng Xie, Jiming Liu. Graph coloring by multiagent fusion search. Journal of Combinatorial Optimization, 2009, 18(2): 99-123. [DOI] Abstract: A multiagent fusion search is presented for the graph coloring pr