Omid Bozorg Haddad

What is he best known for?

The fields of study he is best known for:

• Mathematical optimization
• Statistics
• Algorithm

His primary areas of investigation include Mathematical optimization, Algorithm, Genetic algorithm, Hydrology and Inflow. His multidisciplinary approach integrates Mathematical optimization and Nameplate capacity in his work. Omid Bozorg Haddad has researched Algorithm in several fields, including Hydrograph, Outflow and Benchmark.

His work deals with themes such as Evolutionary algorithm and Pareto principle, which intersect with Genetic algorithm. Omid Bozorg Haddad has included themes like Genetic programming and Minification in his Hydrology study. His Swarm behaviour research is multidisciplinary, incorporating perspectives in Mathematical model, Process, Heuristic and Search algorithm.

His most cited work include:

• Honey-Bees Mating Optimization (HBMO) Algorithm: A New Heuristic Approach for Water Resources Optimization (282 citations)
• Optimizing Irrigation Water Allocation and Multicrop Planning Using Discrete PSO Algorithm (92 citations)
• Application of the Water Cycle Algorithm to the Optimal Operation of Reservoir Systems (86 citations)

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

Omid Bozorg Haddad mostly deals with Mathematical optimization, Hydrology, Genetic algorithm, Environmental engineering and Algorithm. His work in Mathematical optimization tackles topics such as Nonlinear system which are related to areas like Estimation theory and Routing. As a member of one scientific family, he mostly works in the field of Hydrology, focusing on Genetic programming and, on occasion, Irrigation.

His Genetic algorithm research incorporates elements of Nonlinear programming, Pareto principle, Sorting, Evolutionary algorithm and Optimization algorithm. His Environmental engineering research integrates issues from Water quality, Inflow and Water resources. His Algorithm course of study focuses on Benchmark and Optimal design.

He most often published in these fields:

• Mathematical optimization (30.69%)
• Hydrology (18.81%)
• Genetic algorithm (18.81%)

What were the highlights of his more recent work (between 2015-2020)?

• Genetic algorithm (18.81%)
• Mathematical optimization (30.69%)
• Aquifer (5.94%)

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

His primary scientific interests are in Genetic algorithm, Mathematical optimization, Aquifer, Algorithm and Environmental engineering. His Genetic algorithm research also works with subjects such as

• Sorting which is related to area like Pareto principle and Evolutionary algorithm,
• Nonlinear programming which is related to area like Meta-optimization, Global optimal and Reservoir operation. Mathematical optimization and Simulation are commonly linked in his work.

His study brings together the fields of Dynamic design and Algorithm. Many of his research projects under Environmental engineering are closely connected to Pollution and Thermal stratification with Pollution and Thermal stratification, tying the diverse disciplines of science together. The Optimization problem study combines topics in areas such as Minification, Benchmark and Nonlinear system.

Between 2015 and 2020, his most popular works were:

• Biogeography-Based Optimization Algorithm for Optimal Operation of Reservoir Systems (55 citations)
• Weed Optimization Algorithm for Optimal Reservoir Operation (51 citations)
• Application of the SVR-NSGAII to Hydrograph Routing in Open Channels (11 citations)

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

• Mathematical optimization
• Statistics
• Algorithm

Omid Bozorg Haddad mostly deals with Genetic algorithm, Algorithm, Mathematical optimization, Nonlinear programming and Aquifer. His Genetic algorithm research incorporates themes from Linear programming, Flow routing, Routing and Reservoir operation. He interconnects Hydrology, Communication channel, Support vector machine and Hydrograph in the investigation of issues within Algorithm.

Mathematical optimization is closely attributed to Benchmark in his study. His Nonlinear programming research includes themes of Biogeography-based optimization and Global optimal. His research in Aquifer intersects with topics in Waste management, Contamination, In situ bioremediation and Environmental engineering.