Soft computing: applications to the engineering problems

• Grant number: 10/51069-2
• Support Opportunities: Regular Research Grants
• Start date: November 01, 2010
• End date: October 31, 2012
• Field of knowledge: Engineering - Production Engineering - Operational Research
• Principal Investigator: Akebo Yamakami
• Grantee: Akebo Yamakami
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

Soft Computing is a research area that work with environments with uncertainty, imprecision, partial truth, approximations. Often classic techniques do not work well in such situations. Soft computing can be viewed as a foundation component for the emerging field of conceptual intelligence, such as: fuzzy theory, neural networks, evolutionary computation, intelligent systems, possibility theory. The main purpose of this project is to present theoretical and practical analysis applied to the following engineering problems: Fuzzy Multi-Objective Problems; Soft Computing Applied to Computational Problems; Job-Shop Problems; Multi-Objective Hidrothermal Problems; Multicommodity Network Problems; Multimodal Network Flow Problems. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

SILVA, RICARDO C.; CRUZ, CARLOS; VERDEGAY, JOSE L.. Fuzzy costs in quadratic programming problems. Fuzzy Optimization and Decision Making, v. 12, n. 3, p. 231-248, SEP 2013. (10/51069-2)

CIAPPINA, JUSSARA R.; YAMAKAMI, AKEBO; SILVA, RICARDO C.; IEEE. An adaptation of Dantzig-Wolfe decomposition applied to fuzzy multicommodity flow problems. 2012 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), v. N/A, p. 8-pg., 2012-01-01. (10/51069-2)