Problem Definitions and Evaluation Criteria for CEC 2011 Competition on Testing Evolutionary Algorithms on Real World Optimization Problems

By Swagatam Das, Ponnuthurai Nagaratnam Suganthan. 2011

367 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d2f546248edd0c66d833c3e5f67e094e6922d262

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Citations in the corpus

A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems (2021, background): “Another example around real-world bound constrained problems can be found in [141].”
Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm (2019, background): “A detailed description of these test functions can be found in [141].”
Backtracking Search Optimization Algorithm for numerical optimization problems (2013, methodology): “Detailed definitions of these problems are provided in [44].”
Differential evolution based on covariance matrix learning and bimodal distribution parameter setting (2014, methodology): “2, and T13 collected for the 2011 IEEE Congress on Evolutionary Computation (IEEE CEC2011) [10], respectively, which exhibit different complex characteristics and are very difficult to solve.”
Chaotic Local Search-Based Differential Evolution Algorithms for Optimization (2021, background): “Das and Suganthan [66] described this system to generate a sound to emulate a target sound.”
Bio-inspired computation: Where we stand and what's next (2019, background): “Continuous (real-valued) optimization CEC’2005 [320] First benchmark, all functions shifted CEC’2011 [321] Real-world problems, small dimensions CEC’2013 [322] Rotated and shifted functions CEC’2014 [323] More multimodal functions CEC’2014 Expensive [324] Reduced number of evaluations”
Oppositional biogeography-based optimization (2009, background): “Recently, there has been research to extend BBO to combinatorial problems such as the traveling salesman problem (TSP) [183, 184, 185].”
Moth search algorithm: a bio-inspired metaheuristic algorithm for global optimization problems (2016, methodology): “Among those, equivalent bilateral exchange (EBE) [30] is in the form of the linearized model in the system.”
Coronavirus herd immunity optimizer (CHIO) (2020, background): “It should be noted that details of these problems are introduced in the 2011 IEEE Congress on Evolutionary Computation (IEEE-CEC 2011) [74].”
Spider Monkey Optimization algorithm for numerical optimization (2014, unknown): “To see the robustness of the proposed strategy, 4 real world global optimization problems namely Pressure Vessel [30], Parameter Estimation for Frequency-Modulated (FM) Sound Waves [5], Compression Spring [15, 22, 3] and Gear Train[15, 22] have been solved.”
An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization (2012, methodology): “Here, the performance of MDE_pBX has been tested on two instantiations of a realworld spacecraft trajectory optimization problem that is also included in IEEE CEC 2011 competition on testing evolutionary algorithms on real-world problems [22].”
A novel Random Walk Grey Wolf Optimizer (2019, background): “Parameter estimation for frequency-modulated (FM) [35].”