標(biāo)題: Titlebook: Evolutionary Computation in Combinatorial Optimization; 23rd European Confer Leslie Pérez Cáceres,Thomas Stützle Conference proceedings 202 [打印本頁(yè)] 作者: subcutaneous 時(shí)間: 2025-3-21 19:16
書(shū)目名稱Evolutionary Computation in Combinatorial Optimization影響因子(影響力)
書(shū)目名稱Evolutionary Computation in Combinatorial Optimization影響因子(影響力)學(xué)科排名
書(shū)目名稱Evolutionary Computation in Combinatorial Optimization網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Evolutionary Computation in Combinatorial Optimization網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Evolutionary Computation in Combinatorial Optimization被引頻次
書(shū)目名稱Evolutionary Computation in Combinatorial Optimization被引頻次學(xué)科排名
書(shū)目名稱Evolutionary Computation in Combinatorial Optimization年度引用
書(shū)目名稱Evolutionary Computation in Combinatorial Optimization年度引用學(xué)科排名
書(shū)目名稱Evolutionary Computation in Combinatorial Optimization讀者反饋
書(shū)目名稱Evolutionary Computation in Combinatorial Optimization讀者反饋學(xué)科排名
作者: INERT 時(shí)間: 2025-3-21 22:08
,Application of?Adapt-CMSA to?the?Two-Echelon Electric Vehicle Routing Problem with?Simultaneous Piclarge vehicles transport goods from central warehouses to satellites, while smaller and environmentally friendly vehicles distribute goods from these satellites to final customers. The considered problem also includes simultaneous pickup and delivery constraints that usually arise as a reverse logis作者: Brain-Imaging 時(shí)間: 2025-3-22 00:31 作者: Clumsy 時(shí)間: 2025-3-22 06:32 作者: 殖民地 時(shí)間: 2025-3-22 10:51 作者: 鬼魂 時(shí)間: 2025-3-22 16:16 作者: 鬼魂 時(shí)間: 2025-3-22 18:31
,Monte Carlo Tree Search with?Adaptive Simulation: A Case Study on?Weighted Vertex Coloring, on the fly during the search. The impacts of different operator policies, including proportional bias, one-armed bandit, and neural network, are investigated. Experiments on well-known benchmarks of the Weighted Vertex Coloring Problem are conducted to highlight the advantages and limitations of ea作者: 脫落 時(shí)間: 2025-3-22 21:53
,Evolutionary Strategies for?the?Design of?Binary Linear Codes,as been addressed with metaheuristic techniques such as evolutionary algorithms. Still, all these efforts are focused on optimizing the minimum distance of unrestricted binary codes, i.e., with no constraints on their linearity, which is a desirable property for efficient implementations. In this pa作者: NATTY 時(shí)間: 2025-3-23 02:58 作者: synovitis 時(shí)間: 2025-3-23 08:43
,Cooperative Coevolutionary Genetic Programming Hyper-Heuristic for?Budget Constrained Dynamic Multi problem by scheduling multiple workflows submitted at different times and meet user-defined quality of service objectives. Scheduling with user-defined budget constraints is becoming increasingly important due to cloud dynamics associated with on-demand provisioning, instance types, and pricing. To作者: 秘密會(huì)議 時(shí)間: 2025-3-23 10:19
,OneMax Is Not the?Easiest Function for?Fitness Improvements,hanism can run into problems for large . if the fitness landscape is too easy. They conjectured that this problem is worst for the . benchmark, since in some well-established sense . is known to be the easiest fitness landscape..In this paper we disprove this conjecture. We show that there exist . a作者: BLA 時(shí)間: 2025-3-23 14:14 作者: 變態(tài) 時(shí)間: 2025-3-23 20:10 作者: legislate 時(shí)間: 2025-3-24 00:15 作者: 粗鄙的人 時(shí)間: 2025-3-24 05:59
,On the?Effect of?Solution Representation and?Neighborhood Definition in?AutoML Fitness Landscapes,ratory landscape analysis is among the most commonly investigated techniques. However, in contrast with other classical optimization problems, in AutoML defining the landscape may be as tough as characterizing it. This is because the concept of solution neighborhood is not clear, as the spaces have 作者: 血統(tǒng) 時(shí)間: 2025-3-24 08:56
978-3-031-30034-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Isthmus 時(shí)間: 2025-3-24 14:21 作者: Conducive 時(shí)間: 2025-3-24 18:08
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/317891.jpg作者: esoteric 時(shí)間: 2025-3-24 22:01
Colin Newsome,Annabel Newsome,Andrew Stonean have a detrimental effect on the search process. We investigate, for the Travelling Salesman Problem (TSP), the impact of using a hash function to differentiate solutions during the search process. Whereas this work is not intended to improve the state-of-the-art of the TSP solvers, it neverthele作者: abnegate 時(shí)間: 2025-3-24 23:38
Colin Newsome,Annabel Newsome,Andrew Stonelarge vehicles transport goods from central warehouses to satellites, while smaller and environmentally friendly vehicles distribute goods from these satellites to final customers. The considered problem also includes simultaneous pickup and delivery constraints that usually arise as a reverse logis作者: immunity 時(shí)間: 2025-3-25 04:14
https://doi.org/10.1057/978-1-137-41465-6nger?[.] and propose an effective realization of the adaptive large neighborhood search (ALNS) with constant time complexity for a large portion of frequent steps in insertion and removal heuristics at the cost of additional pre-calculations. Our minimization process handles different objectives wit作者: Asperity 時(shí)間: 2025-3-25 07:45
Anthropologies and Their RelationshipsMBSSLP), i.e., a problem for deciding the placement of battery swapping stations in an urban area. MLO generates a solution to an MBSSLP instance in three steps. First the problem size is iteratively reduced by coarsening. Then, a solution to the coarsest problem instance is determined, and finally 作者: 脊椎動(dòng)物 時(shí)間: 2025-3-25 13:28
Economic and Monetary Disunion? this pulse sequence can be modeled by a collection of processes over disjoint finite sub-alphabets, which have been randomly interleaved by a switch process. A known method to solve this problem is to maximize the likelihood of the model which involves a partitioning problem of the whole alphabet. 作者: 松緊帶 時(shí)間: 2025-3-25 15:48
European Drug Policies and Enforcementstring problem. This problem is a notoriously difficult combinatorial optimization problem from the group of string selection problems. The proposed algorithm makes use of negative learning in addition to the standard positive learning mechanism in order to achieve better guidance for the exploratio作者: 有組織 時(shí)間: 2025-3-25 23:56
European Economic Community Migrations on the fly during the search. The impacts of different operator policies, including proportional bias, one-armed bandit, and neural network, are investigated. Experiments on well-known benchmarks of the Weighted Vertex Coloring Problem are conducted to highlight the advantages and limitations of ea作者: Liberate 時(shí)間: 2025-3-26 04:09 作者: TRACE 時(shí)間: 2025-3-26 07:34 作者: 尖叫 時(shí)間: 2025-3-26 10:00
The European Suboptimal and Segment Areas problem by scheduling multiple workflows submitted at different times and meet user-defined quality of service objectives. Scheduling with user-defined budget constraints is becoming increasingly important due to cloud dynamics associated with on-demand provisioning, instance types, and pricing. To作者: Antarctic 時(shí)間: 2025-3-26 15:17
European Economies in Transitionhanism can run into problems for large . if the fitness landscape is too easy. They conjectured that this problem is worst for the . benchmark, since in some well-established sense . is known to be the easiest fitness landscape..In this paper we disprove this conjecture. We show that there exist . a作者: evaculate 時(shí)間: 2025-3-26 18:29 作者: APRON 時(shí)間: 2025-3-26 23:20 作者: 脆弱帶來(lái) 時(shí)間: 2025-3-27 04:37 作者: 憂傷 時(shí)間: 2025-3-27 05:19
Methodological Approach of EurEnDel,ratory landscape analysis is among the most commonly investigated techniques. However, in contrast with other classical optimization problems, in AutoML defining the landscape may be as tough as characterizing it. This is because the concept of solution neighborhood is not clear, as the spaces have 作者: 奇怪 時(shí)間: 2025-3-27 10:00 作者: 嘮叨 時(shí)間: 2025-3-27 14:14
European Economic Community Migrations on the fly during the search. The impacts of different operator policies, including proportional bias, one-armed bandit, and neural network, are investigated. Experiments on well-known benchmarks of the Weighted Vertex Coloring Problem are conducted to highlight the advantages and limitations of each dynamic selection strategy.作者: 追逐 時(shí)間: 2025-3-27 18:26 作者: Euthyroid 時(shí)間: 2025-3-28 00:27 作者: MIRTH 時(shí)間: 2025-3-28 05:05
,Application of?Adapt-CMSA to?the?Two-Echelon Electric Vehicle Routing Problem with?Simultaneous Picf CPLEX, our algorithm is compared to probabilistic versions of two well-known constructive heuristics. The numerical results show that our algorithm outperforms CPLEX in the context of rather small problem instances. Moreover, it is shown to outperform the heuristic algorithms when larger problem i作者: Urologist 時(shí)間: 2025-3-28 08:11
Real-World Vehicle Routing Using Adaptive Large Neighborhood Search,do in OR-Tools?[.], where we achieve significant cost savings, faster runtime, and memory savings by order of magnitude. Performance on large-scale real-world instances with more than 300 vehicles and 1,200 pickup and delivery requests is also presented, achieving less than an hour runtimes.作者: 災(zāi)禍 時(shí)間: 2025-3-28 10:49 作者: Urgency 時(shí)間: 2025-3-28 15:22
,A Policy-Based Learning Beam Search for?Combinatorial Optimization,e only theoretically analyzed, are considered and evaluated in practice on the well-studied Longest Common Subsequence (LCS) problem. To keep P-LBS scalable to larger problem instances, a bootstrapping approach is further proposed for training. Results on established sets of LCS benchmark instances 作者: 邪惡的你 時(shí)間: 2025-3-28 20:25
,The Cost of?Randomness in?Evolutionary Algorithms: Crossover can Save Random Bits,hms, that the total cost of randomness during all crossover operations on . is only .. Consequently, the use of crossover can reduce the cost of randomness below that of the fastest evolutionary algorithms that only use standard mutations.作者: 阻擋 時(shí)間: 2025-3-29 00:54
,Multi-objectivization Relaxes Multi-funnel Structures in?Single-objective NK-landscapes, global optimum of an artificially generated helper problem via the Pareto local optimal solutions. Experimental results showed that the proposed MOLS achieved a higher success rate of the target single-objective optimization than iterative local search algorithms on target .-landscape problems with作者: habitat 時(shí)間: 2025-3-29 05:08 作者: Recessive 時(shí)間: 2025-3-29 07:25
https://doi.org/10.1057/978-1-137-41465-6do in OR-Tools?[.], where we achieve significant cost savings, faster runtime, and memory savings by order of magnitude. Performance on large-scale real-world instances with more than 300 vehicles and 1,200 pickup and delivery requests is also presented, achieving less than an hour runtimes.作者: 含糊其辭 時(shí)間: 2025-3-29 13:00 作者: 清澈 時(shí)間: 2025-3-29 19:09 作者: CULP 時(shí)間: 2025-3-29 23:20 作者: 肥料 時(shí)間: 2025-3-30 01:38
The Future of Large-Scale Migration, global optimum of an artificially generated helper problem via the Pareto local optimal solutions. Experimental results showed that the proposed MOLS achieved a higher success rate of the target single-objective optimization than iterative local search algorithms on target .-landscape problems with作者: Pericarditis 時(shí)間: 2025-3-30 05:42
Anthropologies and Their Relationshipsnteger linear program (MILP) in a direct way as well as solving the instances with a construction heuristic (CH). Results show that MLO scales substantially better for such large instances than the MILP or the CH.作者: 種屬關(guān)系 時(shí)間: 2025-3-30 10:29 作者: Ejaculate 時(shí)間: 2025-3-30 13:17 作者: iodides 時(shí)間: 2025-3-30 17:36 作者: CURT 時(shí)間: 2025-3-30 21:47
,Cooperative Coevolutionary Genetic Programming Hyper-Heuristic for?Budget Constrained Dynamic Multied to allocate ready tasks to either existing or newly rented VM instances, while BAR makes decisions to downgrade VM instances so as to meet the budget constraint. Experiments show significant performance and success rate improvement compared to state-of-the-art algorithms.作者: 寡頭政治 時(shí)間: 2025-3-31 04:17
