Bayesian optimization for adaptive experimental design: A review
Bayesian optimisation is a statistical method that efficiently models and optimises expensive
“black-box” functions. This review considers the application of Bayesian optimisation to …
“black-box” functions. This review considers the application of Bayesian optimisation to …
Performance indicators in multiobjective optimization
In recent years, the development of new algorithms for multiobjective optimization has
considerably grown. A large number of performance indicators has been introduced to …
considerably grown. A large number of performance indicators has been introduced to …
Bio-inspired computation: Where we stand and what's next
In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
Self-scheduling model for home energy management systems considering the end-users discomfort index within price-based demand response programs
This paper presents a self-scheduling model for home energy management systems
(HEMS) in which a novel formulation of a linear discomfort index (DI) is proposed …
(HEMS) in which a novel formulation of a linear discomfort index (DI) is proposed …
Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
The development and application of evolutionary algorithms (EAs) and other metaheuristics
for the optimisation of water resources systems has been an active research field for over …
for the optimisation of water resources systems has been an active research field for over …
Fog computing job scheduling optimization based on bees swarm
Fog computing is a new computing architecture, composed of a set of near-user edge
devices called fog nodes, which collaborate together in order to perform computational …
devices called fog nodes, which collaborate together in order to perform computational …
Review of solar photovoltaic and wind hybrid energy systems for sizing strategies optimization techniques and cost analysis methodologies
Electrical energy becomes necessary for human being. Generation of electrical energy
mostly depends on fossils fuel, they are limited in nature and also responsible for …
mostly depends on fossils fuel, they are limited in nature and also responsible for …
Sustainable agro-food supply chain design using two-stage hybrid multi-objective decision-making approach
H Allaoui, Y Guo, A Choudhary, J Bloemhof - Computers & Operations …, 2018 - Elsevier
Sustainability of agro-food supply chains has recently become the subject of greater interest
from consumers, firms, governmental organizations and academia as the environment …
from consumers, firms, governmental organizations and academia as the environment …
Search-based software engineering: Trends, techniques and applications
In the past five years there has been a dramatic increase in work on Search-Based Software
Engineering (SBSE), an approach to Software Engineering (SE) in which Search-Based …
Engineering (SBSE), an approach to Software Engineering (SE) in which Search-Based …
Evaluation of approaches used for optimization of stand-alone hybrid renewable energy systems
Energy resources are an irreplaceable life resource in the current world, with the use and
management of these an important indicator of development. In parallel to the developing …
management of these an important indicator of development. In parallel to the developing …