A survey on modeling and optimizing multi-objective systems
Many systems or applications have been developed for distributed environments with the
goal of attaining multiple objectives in the face of environmental challenges such as high …
goal of attaining multiple objectives in the face of environmental challenges such as high …
A new coordination strategy of SSSC and PSS controllers in power system using SOA algorithm based on Pareto method
Along with the development of power grids and increasing the use of Flexible AC
Transmission System (FACTS) devices, complex and unexpected interactions will be …
Transmission System (FACTS) devices, complex and unexpected interactions will be …
A new distribution metric for comparing Pareto optimal solutions
Evolutionary multi-objective optimization has established itself a core field of research and
application, with a proliferation of algorithms derived. During the multi-objective optimization …
application, with a proliferation of algorithms derived. During the multi-objective optimization …
Continuous multiobjective programming
We present our view of the state of the art in continuous multiobjective programming. After
an introduction we formulate the multiobjective program (MOP) and define the most …
an introduction we formulate the multiobjective program (MOP) and define the most …
Seeking the Pareto front for multiobjective spatial optimization problems
B Huang, P Fery, L Xue, Y Wang - International Journal of …, 2008 - Taylor & Francis
Spatial optimization problems, such as route selection, usually involve multiple, conflicting
objectives relevant to locations. An ideal approach to solving such multiobjective …
objectives relevant to locations. An ideal approach to solving such multiobjective …
Inexact Exponential Penalty Function with the Augmented Lagrangian for Multiobjective Optimization Algorithms
A Tougma, K Some - Journal of Applied Mathematics, 2024 - Wiley Online Library
This paper uses an augmented Lagrangian method based on an inexact exponential
penalty function to solve constrained multiobjective optimization problems. Two algorithms …
penalty function to solve constrained multiobjective optimization problems. Two algorithms …
Multi-objective optimization for the geometry of trapezoidal corrugated morphing skins
Morphing concepts have great importance for the design of future aircraft as they provide the
opportunity for the aircraft to adapt their shape in flight so as to always match the optimal …
opportunity for the aircraft to adapt their shape in flight so as to always match the optimal …
Multi-criteria optimization of an aircraft propeller considering manufacturing: Structural design optimization simultaneously considering a knowledge-based …
Carbon-fiber-reinforced polymers are gaining ground; high mass-specific stiffness and
strength properties in fiber direction are commonly identified as reasons. Nonetheless, there …
strength properties in fiber direction are commonly identified as reasons. Nonetheless, there …
Pareto front generation with knee-point based pruning for mixed discrete multi-objective optimization
This note proposes an algorithm to generate the Pareto front of a mixed discrete multi-
objective optimization problem based on the pruning of irrelevant subproblems. The knee …
objective optimization problem based on the pruning of irrelevant subproblems. The knee …
Optimal PMU placement with uncertainty using Pareto method
This paper proposes a method for optimal placement of Phasor Measurement Units (PMUs)
in state estimation considering uncertainty. State estimation has first been turned into an …
in state estimation considering uncertainty. State estimation has first been turned into an …