Chris T. Kiranoudis

What is he best known for?

The fields of study he is best known for:

• Artificial intelligence
• Thermodynamics
• Meteorology

His primary areas of study are Vehicle routing problem, Operations research, Metaheuristic, Mathematical optimization and Benchmark. His Operations research study frequently draws connections between related disciplines such as Decision support system. In his research, Chris T. Kiranoudis undertakes multidisciplinary study on Metaheuristic and Set.

As part of his studies on Mathematical optimization, he frequently links adjacent subjects like Algorithm. Chris T. Kiranoudis has included themes like Pixel, Background subtraction and Tracking in his Algorithm study. The Benchmark study combines topics in areas such as Guided Local Search, Tabu search, Heuristics and Heuristic.

His most cited work include:

• Dynamic modeling and control of supply chain systems: A review (339 citations)
• Equilibrium moisture content and heat of desorption of some vegetables (209 citations)
• A threshold accepting metaheuristic for the heterogeneous fixed fleet vehicle routing problem (160 citations)

What are the main themes of his work throughout his whole career to date?

Chris T. Kiranoudis spends much of his time researching Vehicle routing problem, Mathematical optimization, Metaheuristic, Operations research and Process engineering. He integrates many fields, such as Vehicle routing problem and engineering, in his works. Chris T. Kiranoudis interconnects Heuristics and Heuristic in the investigation of issues within Benchmark.

His work is connected to Tabu search, Local search, Combinatorial optimization, Backtracking and Optimization problem, as a part of Mathematical optimization. Operations research is closely attributed to Decision support system in his work. Chris T. Kiranoudis usually deals with Process engineering and limits it to topics linked to Range and Simulation.

He most often published in these fields:

• Vehicle routing problem (22.15%)
• Mathematical optimization (19.46%)
• Metaheuristic (16.11%)

What were the highlights of his more recent work (between 2012-2019)?

• Remote sensing (8.05%)
• Geostationary orbit (5.37%)
• Meteorology (7.38%)

In recent papers he was focusing on the following fields of study:

His main research concerns Remote sensing, Geostationary orbit, Meteorology, Urban heat island and Vehicle routing problem. His Geostationary orbit research incorporates themes from Telecommunications and Function. His work on Nowcasting as part of his general Meteorology study is frequently connected to Energy demand, thereby bridging the divide between different branches of science.

You can notice a mix of various disciplines of study, such as Mathematical optimization, Heuristic and Benchmark, in his Vehicle routing problem studies. He works in the field of Mathematical optimization, focusing on Local search in particular. His Benchmark course of study focuses on Reverse logistics and Heuristics, Optimization problem, Computational intelligence and Operations research.

Between 2012 and 2019, his most popular works were:

• The load-dependent vehicle routing problem and its pick-up and delivery extension (48 citations)
• Heat wave hazard classification and risk assessment using artificial intelligence fuzzy logic (33 citations)
• Integrated distribution and loading planning via a compact metaheuristic algorithm (32 citations)

In his most recent research, the most cited papers focused on:

• Artificial intelligence
• Thermodynamics
• Statistics

Chris T. Kiranoudis focuses on Remote sensing, Geostationary orbit, Meteorology, Urban heat island and Vehicle routing problem. His work carried out in the field of Meteorology brings together such families of science as Pixel and Hazard. In Hazard, Chris T. Kiranoudis works on issues like Climatology, which are connected to Fuzzy logic, Risk assessment and Diurnal temperature variation.

His work deals with themes such as Remote sensing, Earth observation, Continuous monitoring and Service, which intersect with Urban heat island. His Vehicle routing problem study overlaps with Mathematical optimization, Minification, Energy consumption, Local search and Test case. His Integer programming, Metaheuristic and Heuristic study, which is part of a larger body of work in Mathematical optimization, is frequently linked to Set, bridging the gap between disciplines.