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Multiarea optimal power flow using multiobjective evolutionary algorithm
(2009-12-17)
In this work the multiarea optimal power flow (OPF) problem is decoupled into areas creating a set of regional OPF subproblems. The objective is to solve the optimal dispatch of active and reactive power for a determined ...
Hybridizing a multi-objective simulated annealing algorithm with a multi-objective evolutionary algorithm to solve a multi-objective project scheduling problem
(Elsevier, 2012-11)
In this paper, a multi-objective project scheduling problem is addressed. This problem considers two conflicting, priority optimization objectives for project managers. One of these objectives is to minimize the project ...
A bi-objetive Cat Swarm Optimization algorithm for set covering problem
(Springer Verlag, 2016)
A new method for decision making in multi-objective optimization problems
(Sociedade Brasileira de Pesquisa Operacional, 2012)
Many engineering sectors are challenged by multi-objective optimization problems. Even if the idea behind these problems is simple and well established, the implementation of any procedure to solve them is not a trivial ...
Solving biobjective set covering problem using binary cat swarm optimization algorithm
(Springer Verlag, 2016)
A multi-objective memetic algorithm for the job-shop scheduling problem
(Springer, 2012-04-25)
Planning means, in the realm of production activities, to design, coordinate, manage and control all the operations involved in the production system. Many MOPs (Multi-Objective Optimization Problems) are generated in ...
Distributed generation impact evaluation using a multi-objective tabu search
(2009-12-09)
Distribution networks paradigm is changing currently requiring improved methodologies and tools for network analysis and planning. A relevant issue is analyzing the impact of the Distributed Generation penetration in passive ...
Distributed generation impact evaluation using a multi-objective tabu search
(2009-12-09)
Distribution networks paradigm is changing currently requiring improved methodologies and tools for network analysis and planning. A relevant issue is analyzing the impact of the Distributed Generation penetration in passive ...
Characterization of robust solutions of multi-objetive optimization models with uncertain weights: applications in a sawmill
(2018)
The use of weights in multi-objective problems is one of the simplest ways to include multiple criteria in optimization models, in what is known as a weighted-sum approach. However, the solution to these models is highly ...
Characterization of robust solutions of multi-objetive optimization models with uncertain weights: applications in a sawmill
(2018)
The use of weights in multi-objective problems is one of the simplest ways to include multiple criteria in optimization models, in what is known as a weighted-sum approach. However, the solution to these models is highly ...