Integer and combinatorial optimization
Integer and combinatorial optimization
Discrete optimization
Optimal solution of set covering/partitioning problems using dual heuristics
Management Science
Solving fuzzy relation equations with a linear objective function
Fuzzy Sets and Systems
Optimization of fuzzy relation equations with max-product composition
Fuzzy Sets and Systems
Solving nonlinear optimization problems with fuzzy relation equation constraints
Fuzzy Sets and Systems
Fuzzy Relation Equations and Their Applications to Knowledge Engineering
Fuzzy Relation Equations and Their Applications to Knowledge Engineering
Multi-objective optimization problems with fuzzy relation equation constraints
Fuzzy Sets and Systems - Special issue: Optimization and decision support systems
A Note on Fuzzy Relation Programming Problems with Max-Strict-t-Norm Composition
Fuzzy Optimization and Decision Making
Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications (Operations Research/Computer Science Interfaces Series)
Discrete Applied Mathematics - Special issue: Discrete algorithms and optimization, in honor of professor Toshihide Ibaraki at his retirement from Kyoto University
An algorithm for solving fuzzy relation equations with max-T composition operator
Information Sciences: an International Journal
On the resolution and optimization of a system of fuzzy relational equations with sup-T composition
Fuzzy Optimization and Decision Making
A note on systems with max--min and max-product constraints
Fuzzy Sets and Systems
Posynomial Fuzzy Relation Geometric Programming
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
A survey on fuzzy relational equations, part I: classification and solvability
Fuzzy Optimization and Decision Making
On the relation between equations with max-product composition and the covering problem
Fuzzy Sets and Systems
Latticized linear optimization on the unit interval
IEEE Transactions on Fuzzy Systems
An accelerated approach for solving fuzzy relation equations with a linear objective function
IEEE Transactions on Fuzzy Systems
Randomly generating test problems for fuzzy relational equations
Fuzzy Optimization and Decision Making
Engineering Applications of Artificial Intelligence
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This work considers solving the sup- $${\mathcal{T}}$$ equation constrained optimization problems from the integer programming viewpoint. A set covering-based surrogate approach is proposed to solve the sup- $${\mathcal{T}}$$ equation constrained optimization problem with a separable and monotone objective function in each of the variables. This is our first trial of developing integer programming-based techniques to solve sup- $${\mathcal{T}}$$ equation constrained optimization problems. Our computational results confirm the efficiency of the proposed method and show its potential for solving large scale sup- $${\mathcal{T}}$$ equation constrained optimization problems.