Search Results - subject:"Genetic Algorithm"

An integrated approach for scheduling flexible job-shop using teaching-learning-based optimization method

Buddala, Raviteja; Mahapatra, Siba Sankar - In: Journal of industrial engineering international 15 (2019) 1, pp. 181-192

optimum. To avoid this limitation, a new local search technique followed by a mutation strategy (from genetic algorithm) is …

Persistent link: https://www.econbiz.de/10012020105

A multi-product green supply chain under government supervision with price and demand uncertainty

Hafezalkotob, Ashkan; Zamani, Soma - In: Journal of industrial engineering international 15 (2019) 1, pp. 193-206

replacing the lower-level optimization problem with its Karush–Kuhn–Tucker optimality conditions. Genetic algorithm is applied … method, the computational results obtained through genetic algorithm are compared with global optimal solution attained by …

Persistent link: https://www.econbiz.de/10012020107

REPPlab: an R package for detecting clusters and outliers using exploratory projection pursuit

Fischer, Daniel; Berro, Alain; Nordhausen, Klaus; … - 2019

Persistent link: https://www.econbiz.de/10012181395

MILP models and valid inequalities for the two-machine permutation flowshop scheduling problem with minimal time lags

Hamdi, Imen; Toumi, Saïd - In: Journal of industrial engineering international 15 (2019), pp. 223-229

In this paper, we consider the problem of scheduling on two-machine permutation flowshop with minimal time lags between consecutive operations of each job. The aim is to find a feasible schedule that minimizes the total tardiness. This problem is known to be NP-hard in the strong sense. We...

Persistent link: https://www.econbiz.de/10012164656

GA-based optimization for integration of DGs, STATCOM and PHEVs in distribution systems

Singh, Bindeshwar; Singh, Swati - In: Energy reports 5 (2019), pp. 84-103

This paper presents a Genetic Algorithms (GAs) for integration of various types of Distributed Generations (DGs), Static Synchronous Compensator (STATCOM) and Plug-in-Hybrid Electric Vehicle (PHEVs) with different static load models (DSLMs) such as LM-1, LM-2, LM-3, LM-4 and LM-5, respectively...

Persistent link: https://www.econbiz.de/10012001262

Intelligent artificiality : algorithmic microfoundations for strategic problem solving

Moldoveanu, Mihnea - 2019

Persistent link: https://www.econbiz.de/10012052714

A simheuristic approach for evolving agent behaviour in the exploration for novel combat tactics

Lam, Chiou-Peng; Masek, Martin; Kelly, Luke; … - In: Operations research perspectives 6 (2019), pp. 1-13

The automatic generation of behavioural models for intelligent agents in military simulation and experimentation remains a challenge. Genetic Algorithms are a global optimization approach which is suitable for addressing complex problems where locating the global optimum is a difficult task....

Persistent link: https://www.econbiz.de/10012129907

The use of evolutionary algorithms for optimization in the modern entrepreneurial economy : interdisciplinary perspective

Sieja, Marek; Wach, Krzysztof - In: Entrepreneurial business and economics review : EBER 7 (2019) 4, pp. 117-130

Objective: The objective of the article is to present the concept of evolutionary algorithms and indicates the possibility of their implementation for the needs of the economy, especially the entrepreneurial economy. Research Design & Methods: This conceptual article relies on literature review...

Persistent link: https://www.econbiz.de/10012515915

Analysis on predict model of railway passenger travel factors judgment with soft-computing methods

Xi, Yan; Li, Jing - In: Journal of industrial engineering and management : JIEM 7 (2014) 1, pp. 100-114

detailed comparative study was implemented with comparing the two soft-computing methods: genetic algorithm, BP neural network …

Persistent link: https://www.econbiz.de/10011904352

Evaluation of enterprise performance based on FLI-GA model

Zhang, Shouyi; Zhu, Xiaomin; Geng, Jiandong; Zhang, Runtong - In: Journal of industrial engineering and management : JIEM 7 (2014) 2, pp. 373-389

& Genetic algorithm). Approach: This model, mainly based on the fuzzy logic inference method, uses fuzzy rule-based system (FRBS …) to avoid the drawbacks of FRBS. Genetic algorithm is applied in this model. Findings: FLI-GA model can be used to …. Originality: This model combines the genetic algorithm with the unclear reasoning methods so as to make the appraisal results more …

Persistent link: https://www.econbiz.de/10011904538