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The paper suggests an adaptation of a grouping genetic algorithm for solving the capacitated p-median problem. We propose a new encoding of the individual solutions that enables an efficient implementation of the crossover operation. A hybrid metaheuristic that combines the grouping genetic algorithm with the post-processing solver is proposed as well. Numerical experiments performed on benchmark...
Unmanned Aerial Vehicles (UAVs) equipped with remote visual sensing can be used in wide range of applications. However, guaranteeing the full coverage of the area and translating this coverage in a path planning problem, it is a quite challenging task. Thus, in this article a well-known and well-investigated family of hard optimization problems, covering a polygonal region (target area) with fixed...
Agent-based stochastic simulation is an established approach to study infectious diseases. Its advantage is the flexibility to incorporate important concepts. The effect of various mitigation strategies has been demonstrated using simulation models. Most of the previous studies compared a few options with a few selected scenarios. We propose to use genetic algorithms to search for the best vaccination...
A Web service interface is considered as a contract between Web service providers and their subscribers. The subscribers do not have access to the source code of the services but only to the interface containing a set of operations. However, the interface may change over time to meet new requirements. These changes affect the implementation of the subscribers' software. Thus, these clients need to...
This article proposes a novel technique to simultaneously optimize several performance indices of a swing-up stabilizer using genetic algorithm. The design purpose is to attain a desired performance of the system by minimizing an optimization index containing steady-state error, overshoot, settling time and rise-time of the response. Then, by minimizing the cost function using genetic algorithm, the...
This paper demonstrates economic dispatch of generation system of Thailand at the time period which the net demand increases fastest. The net demand can be calculated by subtracting output power of renewable energy generation and non-dispatchable generations from actual electrical demand. Genetic algorithm is employed to determine the optimal set of committed power plants. Not only operating cost...
This paper considers the BBU computing resource allocation problem in a C-RAN system. In particular, we consider the additional computing resource consumption introduced for coordination between different BBUs when the tasks of a cell is processed by different BBUs and consider load balancing among multiple BBUs in order to reduce the effect of a breakdown BBU on the system. The problem is formulated...
Self-adaptation is an efficient way to control the strategy parameters of an Evolutionary Algorithm automatically during optimization. It is based on implicit evolutionary search in the space of strategy parameters, and has been proven to work well as on-line parameter control method for a variety of strategy parameters, from local to global ones. Our proposed Self-Adaptive Multi-Objective Evolutionary...
In this paper we presented an approach for systems identification using artificial intelligence. To demonstrate its practical applicability, we tested it in the medical field in the interpretation of electrophoresis tests, but this application can be implemented in different areas of interest e.g. in business, management, advertising, etc. Extensive research has been performed exploiting the robust...
The post-crowdfunding refers to the sale of products “very successful” in reward-based crowdfunding after the backers have been rewarded. It offers an opportunity for the creators to exploit the remaining untapped profit after the crowdfunding period. The post-crowdfunding includes the resale and normal sale stage, which involves the creators' various policies under the capital constraint based on...
EEG is one of the biomarkers adequate for memory load assessment. Feature Selection (FS) routines for electroencephalogram (EEG) signals have been extensively studied in the past years. Current research is often based on machine learning algorithms. This paper investigates the impact of a new evolutionary approach to Multi-Objective Optimization (MOO) of FS routine for memory load classification using...
This paper proposed an intelligent approach to predict the biochar yield. The biochar is an important renewable energy that produced from biomass thermochemical processes with yields that depend on different operating conditions. There are some approaches that are used to predict the production of biochar such as least square support vector machine. However, this approach suffers from some drawbacks...
In this paper, we formulate a real-world Facility Layout Problem as a constraint satisfaction problem and propose a new method with a genetic algorithm. The created layout should reflect the desires of the users of the facility such as individuality, intuition, comfortableness, and convenience. We employed a GA using Levy Flights as basis for an improved mutation operator and used an island model...
Genetic algorithm (GA) is one of the standard solutions to solve many optimization problems. One of a GA type used for solving a case is island model GA (IMGA). Localization strategy is a brand-new feature for IMGA to better preserves its diversity. In the previous research, localization strategy could carry out 3SAT problem almost perfectly. In this study, the proposed feature is aimed to solve real...
At present, a growing number of web applications especially cloud computing systems employ representational state transfer (REST) API as the interface to expose their services for simplicity and clarity. For security purposes, service providers prefer to control the access to the provided interface based on the principle of least privilege. However, how to divide the administrative privileges remains...
Genetic algorithm (GA) is one of the standard solutions to solve many optimization problems. One of a GA type used for solving a case is island model GA (IMGA). Localization strategy is a brand-new feature for IMGA to better preserves its diversity. In the previous research, localization strategy could carry out 3SAT problem almost perfectly. In this study, the proposed feature is aimed to solve real...
This paper presents a new hybrid HPSO-DE classification algorithm that combines the advantages of particle swarm optimization algorithm and differential evolution algorithm. Major improvements achieved by this combination are 1) flight improvement — flight behaviors are more and better diversified because each of the top 3 particles gets put into 3 different groups of the rest and then each group...
In the area of product design, it is important that adding user's feelings on the products for emphasizing its value. Interactive Evolutionary Computation (IEC) is known as a method that searches optimal or better media contents suited for each user's feelings. In terms of expanding the ability of IEC, some recent studies applied IEC into problem of multiple users. This study aims to create music...
This paper presents novel approach for optimal distribution network reconfiguration using the combination of cycle-break algorithm and genetic algorithms. Significant improvements are introduced in the phases of initial population generation as well as other general operations inside genetic algorithm. These improvements lead to better convergence rate and computational time reduction. Even though...
With software defined networking rapidly becoming industry default, the cut-through mode of switching is becoming increasingly harder to achieve in practice. On the other hand, cut-through networking remains firmly in focus in several fields where top network performance is required, where supercomputing and datacenter interconnect are two popular examples. In earlier work, cut-through mode on end-to-end...
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