Multiobjective evolutionary algorithms: A survey of the state of the art
A multiobjective optimization problem involves several conflicting objectives and has a set of
Pareto optimal solutions. By evolving a population of solutions, multiobjective evolutionary …
Pareto optimal solutions. By evolving a population of solutions, multiobjective evolutionary …
Multi-objective permutation flow shop scheduling problem: Literature review, classification and current trends
MM Yenisey, B Yagmahan - Omega, 2014 - Elsevier
The flow shop scheduling problem is finding a sequence given n jobs with same order at m
machines according to certain performance measure (s). The job can be processed on at …
machines according to certain performance measure (s). The job can be processed on at …
Multi-objective operation management of a renewable MG (micro-grid) with back-up micro-turbine/fuel cell/battery hybrid power source
As a result of today's rapid socioeconomic growth and environmental concerns, higher
service reliability, better power quality, increased energy efficiency and energy …
service reliability, better power quality, increased energy efficiency and energy …
Multi-objective energy management of CHP (combined heat and power)-based micro-grid
In this paper, an IEMS (intelligent energy management system) is proposed for optimal
operation of a CHP-based micro-grid over a 24-hour time interval. The IEMS aims to find the …
operation of a CHP-based micro-grid over a 24-hour time interval. The IEMS aims to find the …
Multi-operation management of a typical micro-grids using Particle Swarm Optimization: A comparative study
Nowadays, it becomes the head of concern for many modern power girds and energy
management systems to derive an optimal operational planning with regard to energy costs …
management systems to derive an optimal operational planning with regard to energy costs …
Optimal multi-operation energy management in smart microgrids in the presence of ress based on multi-objective improved de algorithm: Cost-emission based …
Today, in various leading power utilities in developing countries, achieving optimal
operational energy management and planning, taking into account the costs reduction of …
operational energy management and planning, taking into account the costs reduction of …
An effective modified migrating birds optimization for hybrid flowshop scheduling problem with lot streaming
In this paper, the problem of hybrid flowshop hybridizing with lot streaming (HLFS) with the
objective of minimizing the total flow time is addressed. We propose a mathematical model …
objective of minimizing the total flow time is addressed. We propose a mathematical model …
Multi-objective production scheduling: a survey
D Lei - The International Journal of Advanced Manufacturing …, 2009 - Springer
The real life scheduling problems often have several conflicting objectives. The solutions of
these problems can provide deeper insights to the decision maker than those of single …
these problems can provide deeper insights to the decision maker than those of single …
Scenario-based multiobjective distribution feeder reconfiguration considering wind power using adaptive modified particle swarm optimisation
In this study, a stochastic multiobjective framework is proposed for distribution feeder
reconfiguration (DFR). The proposed multiobjective framework can concurrently optimise …
reconfiguration (DFR). The proposed multiobjective framework can concurrently optimise …
Optimal operation management of fuel cell/wind/photovoltaic power sources connected to distribution networks
T Niknam, A Kavousifard, S Tabatabaei… - Journal of Power Sources, 2011 - Elsevier
In this paper a new multiobjective modified honey bee mating optimization (MHBMO)
algorithm is presented to investigate the distribution feeder reconfiguration (DFR) problem …
algorithm is presented to investigate the distribution feeder reconfiguration (DFR) problem …