L. Darrell Whitley

5.2k total citations · 1 hit paper
71 papers, 3.1k citations indexed

About

L. Darrell Whitley is a scholar working on Artificial Intelligence, Computer Networks and Communications and Industrial and Manufacturing Engineering. According to data from OpenAlex, L. Darrell Whitley has authored 71 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 19 papers in Computer Networks and Communications and 18 papers in Industrial and Manufacturing Engineering. Recurrent topics in L. Darrell Whitley's work include Metaheuristic Optimization Algorithms Research (27 papers), Optimization and Search Problems (15 papers) and Scheduling and Optimization Algorithms (14 papers). L. Darrell Whitley is often cited by papers focused on Metaheuristic Optimization Algorithms Research (27 papers), Optimization and Search Problems (15 papers) and Scheduling and Optimization Algorithms (14 papers). L. Darrell Whitley collaborates with scholars based in United States, Spain and United Kingdom. L. Darrell Whitley's co-authors include Keith E. Mathias, Adele E. Howe, Timothy Starkweather, Jean‐Paul Watson, V. Scott Gordon, Laura Barbulescu, Thomas A. Hanson, Susan E. McDaniel, Soraya Rana and Andrew M. Sutton and has published in prestigious journals such as Journal of the Operational Research Society, Artificial Intelligence and Computers & Operations Research.

In The Last Decade

L. Darrell Whitley

69 papers receiving 2.8k citations

Hit Papers

The GENITOR Algorithm and Selection Pressure: Why Rank-Ba... 1989 2026 2001 2013 1989 200 400 600

Peers

L. Darrell Whitley
Comparison fields: 5 of 127
  • Artificial Intelligence 1.9k
  • Computational Theory and Mathematics 867
  • Industrial and Manufacturing Engineering 755
  • Computer Networks and Communications 559
  • Aerospace Engineering 285
Replace Erick Cantú‐Paz with:
Erick Cantú‐Paz United States
Heinz Mühlenbein Germany
Gerhard Reinelt Germany
Simon Lin Taiwan
Alex Fukunaga Japan
Fernando G. Lobo Portugal
David Applegate United States
Carlos Cotta Spain
Daniel J. Rosenkrantz United States
Leo Liberti France
Erick Cantú‐Paz United States View profile →
Citations per field, relative to L. Darrell Whitley
L. Darrell Whitley · 1×
Citations per year, relative to L. Darrell Whitley
L. Darrell Whitley · 1×

Countries citing papers authored by L. Darrell Whitley

Since Specialization
Citations

This map shows the geographic impact of L. Darrell Whitley's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by L. Darrell Whitley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Darrell Whitley more than expected).

Fields of papers citing papers by L. Darrell Whitley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Darrell Whitley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by L. Darrell Whitley. The network helps show where L. Darrell Whitley may publish in the future.

Co-authorship network of co-authors of L. Darrell Whitley

This figure shows the co-authorship network connecting the top 25 collaborators of L. Darrell Whitley. A scholar is included among the top collaborators of L. Darrell Whitley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with L. Darrell Whitley. L. Darrell Whitley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
Using adaptive priority weighting to direct search in probabilistic scheduling
0
2 6
3
The No Free Lunch and problem description length
80
4
A hybrid genetic algorithm for the Quadratic Assignment Problem
23
5
GECCO-2000 : proceedings of the Genetic and Evolutionary Computation Conference : a joint meeting of the ninth International Conference on Genetic Algorithms (ICGA-2000) and the fifth Annual Genetic Programming Conference (GP-2000), July 10-12, 2000, Las Vegas, Nevada
2
6
Algorithm performance and problem structure for flow-shop scheduling
31
7
Test function generators as embedded landscapes
27
8
Building Better Test Functions
91
9
Hyperplane Ranking in Simple Genetic Algorithms
11
10
A Machine-Independent Analysis of Parallel Genetic Algorithms.
7
11
Serial and Parallel Genetic Algorithms as Function Optimizers
208
12
Cellular Genetic Algorithms
97
13
International Workshop on Combinations of Genetic Algorithms and Neural Networks
18
14
Genetic Operators, the Fitness Landscape and the Traveling Salesman Problem.
54
15
COGANN-92 : International Workshop on Combinations of Genetic Algorithms and Neural Networks, June 6, 1992 Baltimore, Maryland
2
16
Dataflow Parallelism in Genetic Algorithms.
26
17
Delta Coding: An Iterative Search Strategy for Genetic Algorithms.
59
18
Optimizing Neural Networks Using FasterMore Accurate Genetic Search
116
19
The GENITOR Algorithm and Selection Pressure: Why Rank-Based Allocation of Reproductive Trials is Best breakdown →
673
20
Scheduling Problems and Traveling Salesmen: The Genetic Edge Recombination Operator
311

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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