標(biāo)題: Titlebook: Evolutionary Computation in Combinatorial Optimization; 16th European Confer Francisco Chicano,Bin Hu,Pablo García-Sánchez Conference proce [打印本頁] 作者: 不服從 時間: 2025-3-21 18:07
書目名稱Evolutionary Computation in Combinatorial Optimization影響因子(影響力)
書目名稱Evolutionary Computation in Combinatorial Optimization影響因子(影響力)學(xué)科排名
書目名稱Evolutionary Computation in Combinatorial Optimization網(wǎng)絡(luò)公開度
書目名稱Evolutionary Computation in Combinatorial Optimization網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Evolutionary Computation in Combinatorial Optimization被引頻次
書目名稱Evolutionary Computation in Combinatorial Optimization被引頻次學(xué)科排名
書目名稱Evolutionary Computation in Combinatorial Optimization年度引用
書目名稱Evolutionary Computation in Combinatorial Optimization年度引用學(xué)科排名
書目名稱Evolutionary Computation in Combinatorial Optimization讀者反饋
書目名稱Evolutionary Computation in Combinatorial Optimization讀者反饋學(xué)科排名
作者: Myofibrils 時間: 2025-3-21 22:25
A Property Preserving Method for Extending a Single-Objective Problem Instance to Multiple Objectiv can specify the correlations between the generated the objectives. Different from existing instance generation methods the new method allows to keep certain properties of the original single-objective instance. In particular, we consider optimization problems where the objective is defined by a mat作者: Hypopnea 時間: 2025-3-22 02:27 作者: 解脫 時間: 2025-3-22 08:27
Construct, Merge, Solve and Adapt: Application to the Repetition-Free Longest Common Subsequence Pron subsequence problem. The applied algorithm, which is labelled ., ., . & ., generates sub-instances based on merging the solution components found in randomly constructed solutions. These sub-instances are subsequently solved by means of an exact solver. Moreover, the considered sub-instances are 作者: 美色花錢 時間: 2025-3-22 12:28
Deconstructing the Big Valley Search Space Hypothesis, show here that the idea of a single valley does not always hold. Instead the big valley seems to de-construct into several valleys, also called ‘funnels’ in theoretical chemistry. We use the local optima networks model and propose an effective procedure for extracting the network data. We conduct a作者: 馬籠頭 時間: 2025-3-22 16:27
Determining the Difficulty of Landscapes by PageRank Centrality in Local Optima Networks,ith the help of Local Optima Networks (LONs) with escape edges. As a predictor, we use the PageRank Centrality of the global optimum. Escape edges can be extracted with lower effort than the edges used in a previous study. Second, we show that the PageRank vector of a LON can be used to predict the 作者: 馬籠頭 時間: 2025-3-22 17:20 作者: 話 時間: 2025-3-22 22:18 作者: Myocyte 時間: 2025-3-23 02:02
Evolutionary Algorithms for Finding Short Addition Chains: Going the Distance,ce it is an .-hard problem. In this paper, we propose a genetic algorithm with a novel representation of solutions and new crossover and mutation operators to minimize the length of the addition chains corresponding to a given exponent. We also develop a repair strategy that significantly enhances t作者: 地名表 時間: 2025-3-23 07:32
Experimental Evaluation of Two Approaches to Optimal Recombination for Permutation Problems,e Asymmetric Travelling Salesman Problem and the Makespan Minimization Problem on a Single Machine. All four optimal recombination problems under consideration are NP-hard but relatively fast exponential-time algorithms are known for solving them. The experimental evaluation carried out in this pape作者: BARGE 時間: 2025-3-23 12:29
Hyperplane Elimination for Quickly Enumerating Local Optima,or finding local optima are limited to very small problem sizes. We propose a method for exploiting problem structure to skip hyperplanes that cannot contain local optima, allowing runtime to scale with the number of local optima instead of with the landscape size. We prove optimality for linear fun作者: Expand 時間: 2025-3-23 14:59
Limits to Learning in Reinforcement Learning Hyper-heuristics, experimental studies have used . reinforcement learning mechanisms, however, these are inconclusive with regard to the performance of selection hyper-heuristics with these learning mechanisms. This paper points out limitations to learning with . reinforcement learning mechanisms. Our theoretical re作者: 產(chǎn)生 時間: 2025-3-23 19:16 作者: bonnet 時間: 2025-3-24 00:07
Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition, active research topic in the past years. The advantage of having an automated composition system is that it allows users to create new applications simply by providing the required parameters, instead of having to manually assemble the services. Existing approaches to automated composition rely on 作者: laxative 時間: 2025-3-24 02:25
Particle Swarm Optimization for Multi-Objective Web Service Location Allocation,st and network latency, are considered simultaneously. In order to solve this new multi-objective problem effectively, we adopted the framework of binary Particle Swarm Optimization (PSO) due to its efficacy that has been demonstrated in many optimization problems. Specifically, we developed two PSO作者: HARD 時間: 2025-3-24 08:54
Sim-EDA: A Multipopulation Estimation of Distribution Algorithm Based on Problem Similarity,delling. The proposed approach is to tackle several similar instances of the same optimization problem at once. Each subpopulation is assigned to a different instance and a migration mechanism is used for transferring information between the subpopulations. The migration process can be performed usi作者: DIS 時間: 2025-3-24 13:16
Solving the Quadratic Assignment Problem with Cooperative Parallel Extremal Optimization,cult, for many useful instances. We address this problem using a local search technique, based on Extremal Optimization and present experimental evidence that this approach is competitive. Moreover, cooperative parallel versions of our solver improve performance so much that large and hard instances作者: 閃光你我 時間: 2025-3-24 16:10
W. Hempelmann,G. Hempelmann,S. Piepenbrockcult, for many useful instances. We address this problem using a local search technique, based on Extremal Optimization and present experimental evidence that this approach is competitive. Moreover, cooperative parallel versions of our solver improve performance so much that large and hard instances can be solved quickly.作者: tympanometry 時間: 2025-3-24 20:34
Solving the Quadratic Assignment Problem with Cooperative Parallel Extremal Optimization,cult, for many useful instances. We address this problem using a local search technique, based on Extremal Optimization and present experimental evidence that this approach is competitive. Moreover, cooperative parallel versions of our solver improve performance so much that large and hard instances can be solved quickly.作者: 拋棄的貨物 時間: 2025-3-25 00:52 作者: 的闡明 時間: 2025-3-25 07:07 作者: ADORN 時間: 2025-3-25 07:45
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/317879.jpg作者: Autobiography 時間: 2025-3-25 13:01 作者: Basilar-Artery 時間: 2025-3-25 18:23
Evolutionary Computation in Combinatorial Optimization978-3-319-30698-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: falsehood 時間: 2025-3-25 22:15 作者: slipped-disk 時間: 2025-3-26 01:23 作者: 百靈鳥 時間: 2025-3-26 07:02 作者: Mundane 時間: 2025-3-26 09:48 作者: 易彎曲 時間: 2025-3-26 12:58 作者: 密碼 時間: 2025-3-26 17:09
Mark L. Tucker,Joonyup Kim,Chi-Kuang Wenith the help of Local Optima Networks (LONs) with escape edges. As a predictor, we use the PageRank Centrality of the global optimum. Escape edges can be extracted with lower effort than the edges used in a previous study. Second, we show that the PageRank vector of a LON can be used to predict the 作者: 寬大 時間: 2025-3-26 22:14
https://doi.org/10.1007/978-94-017-9484-8e hybridized with evolutionary algorithms. Recently, it has been shown that it is possible to identify improving moves in Hamming neighborhoods for .-bounded pseudo-Boolean optimization problems in constant time. This means that local search does not need to enumerate neighborhoods to find improving作者: 某人 時間: 2025-3-27 01:19 作者: 不能逃避 時間: 2025-3-27 09:20
Fungal Diseases of Golden Palm (,)ce it is an .-hard problem. In this paper, we propose a genetic algorithm with a novel representation of solutions and new crossover and mutation operators to minimize the length of the addition chains corresponding to a given exponent. We also develop a repair strategy that significantly enhances t作者: Accessible 時間: 2025-3-27 10:15 作者: Harridan 時間: 2025-3-27 14:37
Hormone Dependent Breast Cancer,or finding local optima are limited to very small problem sizes. We propose a method for exploiting problem structure to skip hyperplanes that cannot contain local optima, allowing runtime to scale with the number of local optima instead of with the landscape size. We prove optimality for linear fun作者: 后天習(xí)得 時間: 2025-3-27 17:56 作者: 大吃大喝 時間: 2025-3-28 01:57
https://doi.org/10.1007/978-1-4615-6598-7umption that the size and constraints of a problem are fixed, allowing us to model the problem using a static graph. For many problems however, this is not the case and it would be more appropriate to model such problems using dynamic graphs. In this paper we will explore whether feasible colourings作者: 變化 時間: 2025-3-28 02:12 作者: insidious 時間: 2025-3-28 07:02 作者: 聲明 時間: 2025-3-28 14:16
https://doi.org/10.1007/978-3-030-77329-8delling. The proposed approach is to tackle several similar instances of the same optimization problem at once. Each subpopulation is assigned to a different instance and a migration mechanism is used for transferring information between the subpopulations. The migration process can be performed usi作者: indecipherable 時間: 2025-3-28 17:45 作者: nominal 時間: 2025-3-28 22:34
Evolutionary Computation in Combinatorial Optimization16th European Confer作者: 耐寒 時間: 2025-3-29 03:00
A Property Preserving Method for Extending a Single-Objective Problem Instance to Multiple Objectivvior of metaheuristics for the multi-objective TSP are investigated. Some properties of the new method are shown theoretically. In an empirical analysis the new method is compared with instance generation methods from the literature.作者: Meditative 時間: 2025-3-29 06:55
Limits to Learning in Reinforcement Learning Hyper-heuristics,l-known combinatorial optimisation problems, . and ., and the obtained results confirm the theoretical findings. This study suggests that alternatives to the . updates in reinforcement learning mechanisms should be considered.作者: reflection 時間: 2025-3-29 09:23
Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition,ecoded into a composition solution by using a planning algorithm. This approach is compared to a previously proposed graph-based direct representation method, and experiment results show that the indirect representation can lead to a greater (or equivalent) quality while requiring a lower execution 作者: facetious 時間: 2025-3-29 11:43 作者: Bombast 時間: 2025-3-29 17:03 作者: 退潮 時間: 2025-3-29 21:56 作者: 繁殖 時間: 2025-3-30 02:37 作者: 不公開 時間: 2025-3-30 06:45 作者: 細(xì)菌等 時間: 2025-3-30 11:28 作者: 不可磨滅 時間: 2025-3-30 13:33 作者: STIT 時間: 2025-3-30 18:38 作者: Spinal-Tap 時間: 2025-3-30 21:24 作者: 開始發(fā)作 時間: 2025-3-31 03:47 作者: 統(tǒng)治人類 時間: 2025-3-31 09:06 作者: 強制令 時間: 2025-3-31 11:30
Why Do Plants Metabolize Ethylene?y outperforms competing approaches from the literature. Moreover, they show that the algorithm is competitive with CPLEX for small and medium size problem instances, whereas it outperforms CPLEX for larger problem instances.作者: 表示問 時間: 2025-3-31 13:22
Role of Ethylene in Fruit Ripening, not generally the case. The global optimum might be located in a small valley, which offers a clear and visual explanation of the increased search difficulty in these cases. Our study opens up new possibilities for analysing and visualising combinatorial landscapes as complex networks.作者: ALB 時間: 2025-3-31 21:02 作者: 里程碑 時間: 2025-4-1 00:14 作者: ABHOR 時間: 2025-4-1 04:52
Construct, Merge, Solve and Adapt: Application to the Repetition-Free Longest Common Subsequence Pry outperforms competing approaches from the literature. Moreover, they show that the algorithm is competitive with CPLEX for small and medium size problem instances, whereas it outperforms CPLEX for larger problem instances.作者: CREEK 時間: 2025-4-1 09:06 作者: Bumble 時間: 2025-4-1 11:56 作者: Crumple 時間: 2025-4-1 14:51 作者: 動機 時間: 2025-4-1 19:06
Mark L. Tucker,Joonyup Kim,Chi-Kuang Wen be extracted with lower effort than the edges used in a previous study. Second, we show that the PageRank vector of a LON can be used to predict the solution quality (average fitness) achievable by ILS in different landscapes.
