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» Information theory, evolutionary computation, and Dembski's
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GECCO
2003
Springer
13 years 10 months ago
Effective Use of Directional Information in Multi-objective Evolutionary Computation
While genetically inspired approaches to multi-objective optimization have many advantages over conventional approaches, they do not explicitly exploit directional/gradient informa...
Martin Brown, Robert E. Smith
GECCO
2005
Springer
107views Optimization» more  GECCO 2005»
13 years 11 months ago
Minimum spanning trees made easier via multi-objective optimization
Many real-world problems are multi-objective optimization problems and evolutionary algorithms are quite successful on such problems. Since the task is to compute or approximate t...
Frank Neumann, Ingo Wegener
IBERAMIA
1998
Springer
13 years 9 months ago
The "Semantics" of Evolution: Trajectories and Trade-offs in Design Space and Niche Space
This paper 1 attempts to characterise a unifying overview of the practice of software engineers, AI designers, developers of evolutionary forms of computation, designers of adapti...
Aaron Sloman
PPSN
2010
Springer
13 years 4 months ago
Design and Comparison of two Evolutionary Approaches for Solving the Rubik's Cube
Solutions calculated by Evolutionary Algorithms have come to surpass exact methods for solving various problems. The Rubik’s Cube multiobjective optimization problem is one such ...
Nail El-Sourani, Markus Borschbach