Multi-Objective Evolutionary Algorithms Used in Greenhouse Planning for Recycling Biomass into Energy

Advanced parallel Multi-Objective Evolutionary Algorithms (MOEA) have been used in order to solve a wide array of problems, including the planning of greenhouse crops. This paper shows the application of MOEA using the Island Parallel Model to solve a problem involving greenhouse crop planning in order to maximize profits and the production of biomass while reducing economic risks. The interest in maximizing biomass waste lies in the possibility of recycling it into heat and energy.

[1]  Consolación Gil,et al.  Multiobjective Evolutionary Optimization of Greenhouse Vegetable Crop Distributions , 2016, IJCCI.

[2]  Kalyanmoy Deb,et al.  Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.

[3]  Enrique Alba,et al.  Parallelism and evolutionary algorithms , 2002, IEEE Trans. Evol. Comput..

[4]  Mark Voorneveld,et al.  Characterization of Pareto dominance , 2003, Oper. Res. Lett..

[5]  Lothar Thiele,et al.  Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..

[6]  Gary B. Lamont,et al.  Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.

[7]  Gary B. Lamont,et al.  Considerations in engineering parallel multiobjective evolutionary algorithms , 2003, IEEE Trans. Evol. Comput..

[8]  Marco Laumanns,et al.  SPEA2: Improving the strength pareto evolutionary algorithm , 2001 .

[9]  F. Manzano Agugliaro,et al.  Gasification of greenhouse residues for obtaining electrical energy in the south of spain: localization by gis , 2007 .

[10]  Maria Dolores Gil Montoya,et al.  A hybrid method for solving multi-objective global optimization problems , 2007, J. Glob. Optim..

[11]  Xin Yao,et al.  Parallel Problem Solving from Nature PPSN VI , 2000, Lecture Notes in Computer Science.

[12]  Francisco Manzano Agugliaro,et al.  Gasificación de residuos de invernadero para la obtención de energía eléctrica en el sur de España: Ubicación mediante SIG , 2007 .

[13]  C. Romero,et al.  A Non-interactive Methodology to Assess Farmers' Utility Functions: An Application to Large Farms in Andalusia, Spain , 1998 .

[14]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[15]  Martin J. Oates,et al.  The Pareto Envelope-Based Selection Algorithm for Multi-objective Optimisation , 2000, PPSN.

[16]  Carlos Romero,et al.  On farmers' objectives: A multi-criteria approach , 1997 .

[17]  Kalyanmoy Deb,et al.  A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II , 2000, PPSN.