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Optimizing wall insulation material parameters in renovation projects using NSGA-II
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)
Renovation works introduce numerous complexities that can only be addressed by those who excel in this specific design task. Such issues as energy consumption, which requires examination of excessive alternatives, is not ...
Radar target classification for resonance scattering region targets with min-norm signal processing method
(2016 IEEE Radar Methods and Systems Workshop, RMSW 2016 - Proceedings, 2016)
This paper presents a radar target classification method using high-resolution Min-Norm (minimum norm) technique to discriminate targets in a selected target database. The method is convenient for the targets at the resonance ...
Decoupling solution moduli of bigravity
(Physics of the Dark Universe, 2016)
A complete classification of exact solutions of ghost-free, massive bigravity is derived which enables the dynamical decoupling of the background, and the foreground metrics. The general decoupling solution space of the ...
A multi-objective self-adaptive differential evolution algorithm for conceptual high-rise building design
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)
This paper presents a multi-objective self-adaptive differential evolution algorithm to solve the form-finding problem of high-rise building design in the conceptual phase. The aim of the research is to reach suitable ...
Impacts of problem scale and sampling strategy on surrogate model accuracy: An application of surrogate-based optimization in building design
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)
Surrogate-based Optimization is a useful approach when the objective function is computationally expensive to evaluate, compared to Simulation-based Optimization. In the surrogate-based method, analytically tractable ...
Multi-objective optimization for shading devices in buildings by using evolutionary algorithms
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)
The reduction of energy consumption is a major challenge around the world. Architectural aspects have a significant place to minimize energy consumption to the maximum level. The use of large glazed facades causes overheating ...
A discrete artificial bee colony algorithm for the permutation flowshop scheduling problem with sequence-dependent setup times
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)
A discrete artificial bee colony (DABC) algorithm for the permutation flowshop scheduling problem with sequence-dependent setup times (PFSP-SDST) is presented in this paper. PFSP-SDST is an important problem that has ...
Optimizing natural ventilation strategy in existing buildings using differential evolution: Case of architectural studio classrooms
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)
Natural ventilation plays a vital role towards provision of healthy indoor environment condition for occupants in a building. Yet, particularly in winter, providing sufficient level of fresh air to indoor environment causes ...
A computational intelligence decision-support environment for architectural and building design: CIDEA
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)
Environmentally friendly and comfortable buildings are a much sought after goal in today's architectural practice. In order to improve energy consumption of buildings without sacrificing indoor comfort, careful consideration ...
Interior spatial layout with soft objectives using evolutionary computation
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)
This paper presents the design problem of furniture arrangement in a residential interior living space, and addresses it by means of evolutionary computation. Interior arrangement is an important and interesting problem ...
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