What is he best known for?
The fields of study he is best known for:
- Statistics
- Mathematical optimization
- Artificial intelligence
Transport engineering, Total cost, Genetic algorithm, Mathematical optimization and Geographic information system are his primary areas of study.
His research integrates issues of Cost estimate and Project management in his study of Transport engineering.
His Total cost research incorporates themes from Scheduling, Headway, Maintenance engineering and Sensitivity.
His Scheduling study combines topics in areas such as Service quality, Quality of service, Operations research and Flow network.
His work in Genetic algorithm covers topics such as Search algorithm which are related to areas like Computation.
The study incorporates disciplines such as Mathematical model, Simulation and Public transport in addition to Mathematical optimization.
His most cited work include:
- Multiple period optimization of bus transit systems (132 citations)
- An evolutionary model for simultaneously optimizing three-dimensional highway alignments (121 citations)
- JOINT OPTIMIZATION OF A RAIL TRANSIT LINE AND ITS FEEDER BUS SYSTEM (110 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Transport engineering, Mathematical optimization, Operations research, Simulation and Scheduling.
His biological study spans a wide range of topics, including Total cost, Control and Service.
His work deals with themes such as Systems design and Mathematical model, which intersect with Mathematical optimization.
His Operations research study combines topics from a wide range of disciplines, such as Scheduling, Project management, Time horizon and Flow network.
His Scheduling research is multidisciplinary, relying on both Service quality and Reliability engineering.
His study in Public transport is interdisciplinary in nature, drawing from both Subsidy and Headway.
He most often published in these fields:
- Transport engineering (49.62%)
- Mathematical optimization (21.15%)
- Operations research (23.08%)
What were the highlights of his more recent work (between 2016-2021)?
- Mathematical optimization (21.15%)
- Transport engineering (49.62%)
- Operations research (23.08%)
In recent papers he was focusing on the following fields of study:
Paul Schonfeld mainly focuses on Mathematical optimization, Transport engineering, Operations research, Distance transform and Genetic algorithm.
His Mathematical optimization study integrates concerns from other disciplines, such as Simulation, Transit and Flexibility.
Paul Schonfeld combines subjects such as Perfect information and Benchmark with his study of Simulation.
His Transport engineering research is multidisciplinary, incorporating perspectives in Development and Service.
His Operations research study combines topics from a wide range of disciplines, such as Intersection, Schedule, Transportation planning, Time horizon and Present value.
His work carried out in the field of Genetic algorithm brings together such families of science as Multiple constraints and Investment.
Between 2016 and 2021, his most popular works were:
- Mountain Railway Alignment Optimization with Bidirectional Distance Transform and Genetic Algorithm (39 citations)
- Stochastic dynamic switching in fixed and flexible transit services as market entry-exit real options (23 citations)
- Joint optimization of tram timetables and signal timing adjustments at intersections (20 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Mathematical optimization
- Artificial intelligence
The scientist’s investigation covers issues in Mathematical optimization, Genetic algorithm, Optimization problem, Transport engineering and Public transport.
His Mathematical optimization research integrates issues from Transit and Benchmark.
His Genetic algorithm study combines topics in areas such as Multiple constraints and Backtracking.
While the research belongs to areas of Optimization problem, he spends his time largely on the problem of Particle swarm optimization, intersecting his research to questions surrounding Crossover, Multi-objective optimization, Process and Fitness proportionate selection.
His study on Travel time is often connected to Dwell time as part of broader study in Transport engineering.
The Public transport study combines topics in areas such as Total cost, Service and Headway.
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