標(biāo)題: Titlebook: Applications of Metaheuristics in Process Engineering; Jayaraman Valadi,Patrick Siarry Book 2014 Springer International Publishing Switzer [打印本頁] 作者: TIBIA 時間: 2025-3-21 19:37
書目名稱Applications of Metaheuristics in Process Engineering影響因子(影響力)
書目名稱Applications of Metaheuristics in Process Engineering影響因子(影響力)學(xué)科排名
書目名稱Applications of Metaheuristics in Process Engineering網(wǎng)絡(luò)公開度
書目名稱Applications of Metaheuristics in Process Engineering網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Applications of Metaheuristics in Process Engineering被引頻次
書目名稱Applications of Metaheuristics in Process Engineering被引頻次學(xué)科排名
書目名稱Applications of Metaheuristics in Process Engineering年度引用
書目名稱Applications of Metaheuristics in Process Engineering年度引用學(xué)科排名
書目名稱Applications of Metaheuristics in Process Engineering讀者反饋
書目名稱Applications of Metaheuristics in Process Engineering讀者反饋學(xué)科排名
作者: squander 時間: 2025-3-21 21:28
George R. Merriam MD,David E. Cummings MDm (GA). Its inherent parallelism has enabled significant computational improvement over deterministic enumerations. Further, it has provided a flexibility of solving multiple objectives in a derivative-free environment. These advantages are extremely useful for solving optimization problems in chemi作者: 下垂 時間: 2025-3-22 04:05 作者: IRATE 時間: 2025-3-22 06:22
Klaus-Martin Schulte MD, FRCS, Hone right model out of such information is often a very cumbersome task and either over or underfitting of the data is a common occurrence. Complex interaction between the variables adds to further problems. With the advent of multi-objective genetic and evolutionary algorithms, some modeling strategi作者: 男生戴手銬 時間: 2025-3-22 08:44 作者: Increment 時間: 2025-3-22 12:59 作者: 去掉 時間: 2025-3-22 18:10 作者: 復(fù)習(xí) 時間: 2025-3-23 00:47 作者: instructive 時間: 2025-3-23 02:14 作者: heartburn 時間: 2025-3-23 06:02
Angelica Silva-Figueroa,Nancy D. Perrierly of algorithms is called artificial chemical process (ACP). The first heuristic is a new methodology recently introduced (Irizarry, Mimicking chemical kinetics to solve combinatorial optimization processes, 2014, submitted). It is based on the construction of an artificial chemical kinetic (ACK) m作者: Painstaking 時間: 2025-3-23 10:09 作者: Osteoporosis 時間: 2025-3-23 15:41
Daniel J. Ledbetter,Paul R.V. Johnsonast three decades, catalyzing new developments in electronics as well as bioanalytical industries. A great deal of efforts has been made both experimentally and theoretically to develop application-specific conducting polymers. But the challenging task that still remains is the achievement of a mini作者: 有抱負(fù)者 時間: 2025-3-23 18:24 作者: prodrome 時間: 2025-3-24 01:15 作者: 色情 時間: 2025-3-24 04:43 作者: 600 時間: 2025-3-24 07:18 作者: Herbivorous 時間: 2025-3-24 12:58 作者: FIN 時間: 2025-3-24 15:45
https://doi.org/10.1007/978-3-642-60996-1ficient to find the optimal solution precisely. Conversely, deterministic local methods are more efficient in finding the optimum precisely, particularly if a good initial estimate is given. In this work, the stochastic and local search methods are combined together for improving the search efficien作者: 群居男女 時間: 2025-3-24 21:32 作者: 捏造 時間: 2025-3-24 23:41
http://image.papertrans.cn/a/image/159504.jpg作者: 很是迷惑 時間: 2025-3-25 07:14
https://doi.org/10.1007/978-3-319-06508-3Chemical process engineering; Computational intelligence; Evolutionary computing; Metaheuristics; Optimi作者: 意外 時間: 2025-3-25 11:19 作者: assent 時間: 2025-3-25 15:25
Metaheuristics in Process Engineering: A Historical Perspective,30 years. The first part of this chapter describes some fundamental characteristics of metaheuristics, a class of global stochastic methods and also provides the standard description of some of the most widely used metaheuristics such as simulated annealing, tabu search, genetic algorithms, and ant 作者: 跑過 時間: 2025-3-25 18:52
Applications of Genetic Algorithms in Chemical Engineering I: Methodology,m (GA). Its inherent parallelism has enabled significant computational improvement over deterministic enumerations. Further, it has provided a flexibility of solving multiple objectives in a derivative-free environment. These advantages are extremely useful for solving optimization problems in chemi作者: 可轉(zhuǎn)變 時間: 2025-3-25 21:51 作者: 清楚說話 時間: 2025-3-26 03:33 作者: Cuisine 時間: 2025-3-26 07:44
Swarm Intelligence in Pulp and Paper Process Optimization, exhibit complex collective behavior despite the simplicity of the individuals that make up the swarm. Models of these systems have been used successfully to solve difficult and complex real world optimization problems. This chapter focuses on the model inspired by the intelligent foraging behavior 作者: 復(fù)習(xí) 時間: 2025-3-26 12:25
Particle Swarm Optimization Technique for the Optimal Design of Plate-Type Distillation Column,te-type distillation column from economic point of view. The optimization procedure involves the selection of the major plate geometric parameters such as hole diameters, ratio of downcomer area to tower area, weir height, fractional hole area in tray, tray spacing, tower diameter, etc. and minimiza作者: 從容 時間: 2025-3-26 14:33 作者: Pepsin 時間: 2025-3-26 20:47 作者: IDEAS 時間: 2025-3-26 23:23
Biogeography-Based Optimization Algorithm for Optimization of Heat Exchangers,rated by a solid wall. Heat exchangers are used in the process, power, transportation, air-conditioning and refrigeration, cryogenic, heat recovery, alternate fuels, and manufacturing industries and are key components of many industrial products available in the marketplace. Different types of heat 作者: pester 時間: 2025-3-27 01:35
Optimization Heuristics Mimicking Chemical Processes,ly of algorithms is called artificial chemical process (ACP). The first heuristic is a new methodology recently introduced (Irizarry, Mimicking chemical kinetics to solve combinatorial optimization processes, 2014, submitted). It is based on the construction of an artificial chemical kinetic (ACK) m作者: 發(fā)芽 時間: 2025-3-27 08:29 作者: STANT 時間: 2025-3-27 09:59 作者: 瑣事 時間: 2025-3-27 14:43 作者: 表兩個 時間: 2025-3-27 18:20 作者: rods366 時間: 2025-3-27 23:07
Multi-Objective Genetic Algorithms for Chemical Engineering Applications, (MOOPs). Evolutionary methods and particularly genetic algorithms are commonly used in chemical engineering, where the problems generally involve complex models embedded in an outer optimization loop. This paper first presents two multi-objective genetic algorithms to tackle continuous and mixed-in作者: Fillet,Filet 時間: 2025-3-28 04:56
A Multi-Objective Modelling and Optimization Framework for Operations Management of a Fresh Fruit Sion yield indices at the orchard level are lower than the values related to more technologically developed countries. This situation leads to economic losses due to poor performance in productivity, efficiency and quality, which in turn is related to a technological and managerial gap. In this chapt作者: 開始從未 時間: 2025-3-28 08:34 作者: CYN 時間: 2025-3-28 11:05
Hybrid Approach for Multiobjective Optimization and Its Application to Process Engineering Problemsficient to find the optimal solution precisely. Conversely, deterministic local methods are more efficient in finding the optimum precisely, particularly if a good initial estimate is given. In this work, the stochastic and local search methods are combined together for improving the search efficien作者: 比喻好 時間: 2025-3-28 16:34
Applications of Metaheuristics in Process Engineering作者: 言行自由 時間: 2025-3-28 20:13 作者: antecedence 時間: 2025-3-29 01:13 作者: neutralize 時間: 2025-3-29 05:58 作者: 關(guān)心 時間: 2025-3-29 07:43
Particle Swarm Optimization Technique for the Optimal Design of Plate-Type Distillation Column,lation column. In contrast to the traditional penalty function method, the rule requires no additional parameters and can guide the swarm to the feasible region quickly. In addition, to avoid the premature convergence, simulated annealing (SA) is applied to the best solution of the swarm to help the作者: beta-carotene 時間: 2025-3-29 13:14 作者: 平淡而無味 時間: 2025-3-29 19:03
Optimization Heuristics Mimicking Chemical Processes, for the development of new problem-specific solution strategies. The second heuristic reviewed in this chapter based on the ACP is the LARES algorithm. This algorithm was introduced in Irizarry (Evol. Comput. J. 12:435–460, 2004) and has been used as a general-purpose methodology to solve global op作者: transplantation 時間: 2025-3-29 23:06
Multi-Objective Genetic Algorithms for Chemical Engineering Applications,industry and economic and environmental study of the HDA process). The results are compared with the ones reported in the literature, and the analysis highlights the efficiency of the proposed algorithms either in the continuous case or in the mixed-integer one.作者: hemophilia 時間: 2025-3-30 01:29 作者: olfction 時間: 2025-3-30 04:09
Jumping Gene Adaptations of NSGA-II with Altruism Approach: Performance Comparison and Application monly used termination criterion for stochastic search algorithms. Hence, a search termination criterion based on the improvement in the Pareto-optimal front obtained has been included in the present study. Performance of selected algorithms is compared using both improvement-based termination crite作者: misshapen 時間: 2025-3-30 11:26 作者: 浪費時間 時間: 2025-3-30 15:07
s in related computational intelligence domains and their applications in real-world process engineering. It will be of interest to industrial practitioners and research academics..978-3-319-35704-1978-3-319-06508-3作者: Constituent 時間: 2025-3-30 19:32
George R. Merriam MD,David E. Cummings MDanking, altruism, etc., to enable faster convergence of the algorithms. Continuous improvements are being made by the use of new or hybrid concepts so as to provide improved applicability and flexibility, and so as to exploit the rapidly increasing computational speeds.作者: neoplasm 時間: 2025-3-30 22:34
Klaus-Martin Schulte MD, FRCS, Honccomplish this, by altering several features of the conventional neural networks (ANN) and genetic programming (GP) through a predator–prey type bi-objective genetic algorithm (GA), which gives rise to a Pareto frontier between the accuracy and complexity of the models, and a decision maker (DM) is 作者: CHOP 時間: 2025-3-31 04:43
Rebecca S. Sippel MD,Herbert Chen MDlation column. In contrast to the traditional penalty function method, the rule requires no additional parameters and can guide the swarm to the feasible region quickly. In addition, to avoid the premature convergence, simulated annealing (SA) is applied to the best solution of the swarm to help the作者: 發(fā)酵劑 時間: 2025-3-31 06:04
Martin Almquist,Cornelia Dotzenrathal on the plant. To address this issue, model prediction confidence bound is incorporated in the optimization objective function. In addition to optimizing process operation objectives, the proposed strategy also searches for solutions that lead to narrow prediction confidence bounds (i.e., reliable作者: Addictive 時間: 2025-3-31 11:58
Angelica Silva-Figueroa,Nancy D. Perrier for the development of new problem-specific solution strategies. The second heuristic reviewed in this chapter based on the ACP is the LARES algorithm. This algorithm was introduced in Irizarry (Evol. Comput. J. 12:435–460, 2004) and has been used as a general-purpose methodology to solve global op作者: 不足的東西 時間: 2025-3-31 14:53
Michael J. Stechman,Gregory P. Sadlerindustry and economic and environmental study of the HDA process). The results are compared with the ones reported in the literature, and the analysis highlights the efficiency of the proposed algorithms either in the continuous case or in the mixed-integer one.
