Carlos A. Silva

发表

Supply-Chain Management Using ACO and Beam-ACO Algorithms

João Caldeira, Ricardo Azevedo, Carlos A. Silva, 2007, 2007 IEEE International Fuzzy Systems Conference.

Optimizing logistic processes using a fuzzy decision making approach

Thomas A. Runkler, Carlos A. Silva, João Miguel da Costa Sousa, 2003, IEEE Trans. Syst. Man Cybern. Part A.

Ant Colony Optimization for dynamic Traveling Salesman Problems

Thomas A. Runkler, Carlos A. Silva, 2004, ARCS Workshops.

Ant Colonies as Logistic Processes Optimizers

Thomas A. Runkler, Carlos A. Silva, João Miguel da Costa Sousa, 2002, Ant Algorithms.

Distributed supply chain management using ant colony optimization

Thomas A. Runkler, Carlos A. Silva, João Miguel da Costa Sousa, 2009, Eur. J. Oper. Res..

A New Feature Selection Criterion for Fuzzy Classification

Rui Jorge Almeida, Carlos A. Silva, João Miguel da Costa Sousa, 2006, 2006 IEEE International Conference on Fuzzy Systems.

A multi-agent approach for supply chain management using ant colony optimization

Thomas A. Runkler, Carlos A. Silva, João Miguel da Costa Sousa, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

Multicriteria decision analysis for sustainable data centers location

Luis C. Dias, Carlos A. Silva, Miguel T. Covas, 2013, Int. Trans. Oper. Res..

Optimization of logistic systems using fuzzy weighted aggregation

Thomas A. Runkler, Carlos A. Silva, João Miguel da Costa Sousa, 2007, Fuzzy Sets Syst..

Distributed Optimization using Ant Colony Optimization in a Concrete Delivery Supply Chain

Uzay Kaymak, Carlos A. Silva, João Miguel da Costa Sousa, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation pdf

Carlos A. Silva, Adriano Pinto, Carlos A. Silva, 2021, BrainLes@MICCAI.

Optimization of power flow with energy storage using genetic algorithms

Carlos A. Silva, João Miguel da Costa Sousa, João Claro, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Transmission Network Expansion Planning under Uncertainty using the Conditional Value at Risk and Genetic Algorithms

Carlos A. Silva, J. Sousa, Hugo Sardinha, 2013 .

A Fuzzy Delay Approach for HIV Dynamics Using a Cellular Automaton

Carlos A. Silva, Laécio C. Barros, Rodney Carlos Bassanezi, 2015, J. Appl. Math..

Optimization of Logistic Processes in Supply-Chains Using Meta-heuristics

Thomas A. Runkler, Carlos A. Silva, João Miguel da Costa Sousa, 2003, EPIA.

Soft computing optimization methods applied to logistic processes

Thomas A. Runkler, Carlos A. Silva, João Miguel da Costa Sousa, 2005, Int. J. Approx. Reason..

Rescheduling and optimization of logistic processes using GA and ACO

Thomas A. Runkler, Carlos A. Silva, João Miguel da Costa Sousa, 2008, Eng. Appl. Artif. Intell..

Production Rescheduling for Contract Manufacturing Industry based on Delivery Risks

Enzo Morosini Frazzon, Carlos A. Silva, Iracyanne Retto Uhlmann, 2018 .

A LOGISTIC PROCESS SCHEDULING PROBLEM: GENETIC ALGORITHMS OR ANT COLONY OPTIMIZATION?

Thomas A. Runkler, Carlos Silva, Carlos A. Silva, 2005 .

Layout Optimization using Computer Simulation Tool for Decision Making

Carlos A. Silva, Kellen Bicho Vieira, Carlos Americo de Souza Silva, 2019, International Journal of Advanced Engineering Research and Science.

Beam-ACO Distributed Optimization Applied to Supply-Chain Management

João Caldeira, Ricardo Azevedo, Carlos A. Silva, 2007, IFSA.

SCant-design: Closed loop supply chain design using ant colony optimization

Carlos A. Silva, João Miguel da Costa Sousa, Ana Paula F. D. Barbosa-Póvoa, 2012, 2012 IEEE Congress on Evolutionary Computation.

Distributed optimisation of a logistic system and its suppliers using ant colonies

Thomas A. Runkler, Carlos A. Silva, João Miguel da Costa Sousa, 2006, Int. J. Syst. Sci..

A Multi-Agent Dispatching Heuristic for Manufacturing Systems Using Ant Colonies

Thomas A. Runkler, Carlos Silva, Joao M. C. Sous, 2002 .