Computational Intelligence and Neuroscience / 2019 / Article / Tab 2

Research Article

An Opposition-Based Evolutionary Algorithm for Many-Objective Optimization with Adaptive Clustering Mechanism

Table 2

The features of the test problems.

ProblemFeatures

DTLZ1Linear, multimodal
DTLZ2Concave
DTLZ3Concave, multimodal
DTLZ4Concave, biased
DTZL7Mixed, disconnected, multimodal
WFG1Mixed, biased
WFG2Convex, disconnected, multimodal, nonseparable
WFG3Linear, degenerate, nonseparable
WFG4Concave, multimodal
WFG5Concave, deceptive
WFG6Concave, nonseparable
WFG7Concave, biased
WFG8Concave, biased, nonseparable
WFG9Concave, biased, multimodal, deceptive, nonseparable