A multi-objective neural network trained with differential evolution for dynamic economic emission dispatch
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Jim Duggan | Karl Mason | Enda Howley | J. Duggan | E. Howley | Karl Mason
[1] Provas Kumar Roy,et al. A multi-objective hybrid evolutionary algorithm for dynamic economic emission load dispatch , 2016 .
[2] Jasbir S. Arora,et al. Survey of multi-objective optimization methods for engineering , 2004 .
[3] Ali Ghasemi,et al. A fuzzified multi objective Interactive Honey Bee Mating Optimization for Environmental/Economic Power Dispatch with valve point effect , 2013 .
[4] Sakti Prasad Ghoshal,et al. Solution of combined economic and emission dispatch problems of power systems by an opposition-based harmony search algorithm , 2012 .
[5] Hadi Hamedi,et al. Solving the combined economic load and emission dispatch problems using new heuristic algorithm , 2013 .
[6] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .
[7] Hao Wang,et al. Dynamic environmental economic dispatch using multiobjective differential evolution algorithm with expanded double selection and adaptive random restart , 2013 .
[8] Manjaree Pandit,et al. An improved bacterial foraging algorithm for combined static/dynamic environmental economic dispatch , 2012, Appl. Soft Comput..
[9] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[10] Zhi-gang Lu,et al. Low-carbon emission/economic power dispatch using the multi-objective bacterial colony chemotaxis optimization algorithm considering carbon capture power plant , 2013 .
[11] Taher Niknam,et al. $\theta$-Multiobjective Teaching–Learning-Based Optimization for Dynamic Economic Emission Dispatch , 2012, IEEE Systems Journal.
[12] Lothar Thiele,et al. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..
[13] Dong Yue,et al. Multi-elite guide hybrid differential evolution with simulated annealing technique for dynamic economic emission dispatch , 2015, Appl. Soft Comput..
[14] Jim Duggan,et al. A task allocation optimizer for software construction , 2004, IEEE Software.
[15] Pierluigi Siano,et al. Smart real-time scheduling of generating units in an electricity market considering environmental aspects and physical constraints of generators , 2017 .
[16] David A. Elizondo,et al. A Survey of Partially Connected Neural Networks , 1997, Int. J. Neural Syst..
[17] Provas Kumar Roy,et al. Multi-objective quasi-oppositional teaching learning based optimization for economic emission load dispatch problem , 2013 .
[18] Sam Devlin,et al. Policy invariance under reward transformations for multi-objective reinforcement learning , 2017, Neurocomputing.
[19] Jan K. Sykulski,et al. An improved Pattern Search based algorithm to solve the Dynamic Economic Dispatch problem with valve-point effect , 2010 .
[20] Malabika Basu,et al. Particle Swarm Optimization Based Goal-Attainment Method for Dynamic Economic Emission Dispatch , 2006 .
[21] Xiaohua Xia,et al. Multi-objective dynamic economic emission dispatch of electric power generation integrated with game theory based demand response programs , 2015 .
[22] Karl Mason,et al. Exploring avoidance strategies and neighbourhood topologies in particle swarm optimisation , 2016 .
[23] S. Baskar,et al. Application of modified NSGA-II algorithm to Combined Economic and Emission Dispatch problem , 2011 .
[24] Jim Duggan,et al. A meta optimisation analysis of particle swarm optimisation velocity update equations for watershed management learning , 2018, Appl. Soft Comput..
[25] Lothar Thiele,et al. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results , 2000, Evolutionary Computation.
[26] Fouad Ben Abdelaziz,et al. Multi-objective stochastic programming for portfolio selection , 2007, Eur. J. Oper. Res..
[27] David W. Corne,et al. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy , 2000, Evolutionary Computation.
[28] Yong Zhang,et al. Environmental/economic power dispatch using a hybrid multi-objective optimization algorithm , 2010 .
[29] Ahmed M. Elaiw,et al. Hybrid DE-SQP and hybrid PSO-SQP methods for solving dynamic economic emission dispatch problem with valve-point effects , 2013 .
[30] Jim Duggan,et al. Using System Dynamics and Multiple Objective Optimization to Support Policy Analysis for Complex Systems , 2008 .
[31] Stefan Reis,et al. Twenty-five years of continuous sulphur dioxide emission reduction in Europe , 2007 .
[32] Joni-Kristian Kämäräinen,et al. Differential Evolution Training Algorithm for Feed-Forward Neural Networks , 2003, Neural Processing Letters.
[33] Vo Ngoc Dieu,et al. Augmented Lagrange Hopfield network initialized by quadratic programming for economic dispatch with piecewise quadratic cost functions and prohibited zones , 2013, Appl. Soft Comput..
[34] Jim Duggan,et al. Multi-objective dynamic economic emission dispatch using particle swarm optimisation variants , 2017, Neurocomputing.
[35] Dinu Calin Secui,et al. A new modified artificial bee colony algorithm for the economic dispatch problem , 2015 .
[36] Andreas Zell,et al. Optimizing recurrent reservoirs with neuro-evolution , 2016, Neurocomputing.
[37] Malabika Basu,et al. Dynamic economic emission dispatch using nondominated sorting genetic algorithm-II , 2008 .
[38] Mousumi Basu,et al. Dynamic Economic Emission Dispatch Using Evolutionary Programming and Fuzzy Satisfying Method , 2007 .
[39] I. Y. Kim,et al. Adaptive weighted-sum method for bi-objective optimization: Pareto front generation , 2005 .
[40] George W. Irwin,et al. An efficient harmony search with new pitch adjustment for dynamic economic dispatch , 2014 .
[41] Carlos A. Coello Coello,et al. Handling multiple objectives with particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.
[42] Kalyanmoy Deb,et al. A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II , 2000, PPSN.
[43] Lixiang Li,et al. A multi-objective chaotic ant swarm optimization for environmental/economic dispatch , 2010 .
[44] Waree Kongprawechnon,et al. Application of multiple tabu search algorithm to solve dynamic economic dispatch considering generator constraints , 2008 .
[45] Prakash Kumar Hota,et al. Economic emission load dispatch through fuzzy based bacterial foraging algorithm , 2010 .
[46] Pei-Chann Chang,et al. A novel model by evolving partially connected neural network for stock price trend forecasting , 2012, Expert Syst. Appl..
[47] Zhicheng Ji,et al. A novel hybrid particle swarm optimization and gravitational search algorithm for solving economic emission load dispatch problems with various practical constraints , 2014 .
[48] J. P. Zhan,et al. Dynamic economic emission dispatch based on group search optimizer with multiple producers , 2012 .
[49] M Reyes Sierra,et al. Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art , 2006 .