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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 ...
A particle swarm optimizer for multi-objective optimization
(Universidad Nacional de La Plata. Facultad de Informática, 2005-12)
This paper proposes a hybrid particle swarm approach called Simple Multi-Objective Particle Swarm Optimizer (SMOPSO) which incorporates Pareto dominance, an elitist policy, and two techniques to maintain diversity: a ...
Meta-heuristic multi- and many-objective optimization techniques for solution of machine learning problems
(Wiley-Blackwell, 2017-12-01)
Recently, multi- and many-objective meta-heuristic algorithms have received considerable attention due to their capability to solve optimization problems that require more than one fitness function. This paper presents a ...
Optimal allocation of distributed generators providing reactive power support ancillary service
(2011-10-05)
Problems as voltage increase at the end of a feeder, demand supply unbalance in a fault condition, power quality decline, increase of power losses, and reduction of reliability levels may occur if Distributed Generators ...
Solving biobjective set covering problem using binary cat swarm optimization algorithm
(Springer Verlag, 2016)
MILP-based clustering method for multi-objective optimization: Application to environmental problems
(Elsevier, 2013-09)
Multi-objective optimization (MOO) has recently emerged as a useful technique in environmental engineering. One major limitation of this approach is that its computational burden grows rapidly with the number of environmental ...
A multi-criteria optimization and decision-making approach for improvement of food engineering processes
(ISEKI Food Association, 2013-04)
The objective of this study was to propose a multi-criteria optimization and decision-making technique to solve food engineering problems. This technique was demonstrated using experimental data obtained on osmotic dehydration ...