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Various evolutionary algorithms are being developed to search the optimal solution of various problems in the real world. Evolutionary algorithms search solutions showing the optimal fitness to given problem using their own operators. Engineering benchmark problems can be used for performance measurement of evolutionary algorithms, and the water distribution network design problem is one of the widely...
In this paper, a novel centralized traffic network model is proposed to describe the urban traffic light scheduling problem (UTLSP) in a traffic network. The objective is to minimize the network-wise total delay time of all vehicles in a fixed time window. To overcome the potentially high computational complexity involved in UTLSP, an improved artificial bee colony (IABC) algorithm is proposed. A...
Optimal power flow (OPF) is known as one of the most important planning and scheduling tools in electrical power systems. The OPF problem is a non-convex, NP-hard optimization problem, therefore, the applications of metaheuristic algorithms in the OPF problem have been gained more attentions in recent years. This article investigates successful application of recently developed optimizer, so called,...
This paper researches on the flexible job shop scheduling problem (FJSP) with new job insertion. FJSP with new job insertion includes two phases: initializing schedules and rescheduling after new job(s) insertion. Initializing schedules is the standard FJSP problem while rescheduling is an FJSP with different job start time and different machine start time. The objective is to minimize maximum machine...
This paper studies a large-scale urban traffic signal control problem (LUTSCP). A centralized model is developed for describing the LUTSCP in a scheduling framework. The objective is to minimize the total network-wise delay in a fixed time window. We have implemented a recently developed algorithm, so called Jaya, to solve the LUTSCP. The population initialization is based on the four stages of traffic...
Online shopping has become an essential part of our life, which provides a suitable, cheap, and quick way for customers to enjoy a wide variety of products. However, due to the large number of online stores, a customer usually faces difficulties to review all available offers manually in order to find a favorite item. The Internet shopping optimization problem (ISOP) is a multiple-item multiple-shop...
Differential equations are at the heart of physics and much of chemistry. In this paper, differential equations of convective-radiative longitudinal fins with convex and exponential profiles have been solved approximately using a Fourier-based optimization approach. Using the concepts of mathematics, Fourier series expansion, and metaheuristics, ordinary differential equations (ODEs) can be modeled...
Differential equations play a noticeable role in engineering, physics, economics, and other disciplines. In this paper, a general approach is suggested to solve a variety of linear and nonlinear ordinary differential equations (ODEs). With the aid of certain fundamental concepts of mathematics, Fourier series expansion and metaheuristic optimization methods, ODEs can be represented as an optimization...
Due to possessing unique structure, sandwich panels have special characteristics which the most important is having high strength to weight ratio. Sandwich panels having diverse prismatic cores have been investigated and comparisons have been carried out for finding the best design. For this reason, the importance of optimization techniques particularly metaheuristics is understood. Water cycle algorithm...
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