[图书][B] Knowledge representation
AB Markman - 2013 - taylorfrancis.com
Knowledge representation is fundamental to the study of mind. All theories of psychological
processing are rooted in assumptions about how information is stored. These assumptions …
processing are rooted in assumptions about how information is stored. These assumptions …
[引用][C] Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 5/e
GF Luger - 1998 - Pearson Education India
When will a genetic algorithm outperform hill climbing
M Mitchell, J Holland, S Forrest - Advances in neural …, 1993 - proceedings.neurips.cc
We analyze a simple hill-climbing algorithm (RMHC) that was pre (cid: 173) viously shown to
outperform a genetic algorithm (GA) on a simple" Royal Road" function. We then analyze an" …
outperform a genetic algorithm (GA) on a simple" Royal Road" function. We then analyze an" …
Evaluating evolutionary algorithms
D Whitley, S Rana, J Dzubera, KE Mathias - Artificial intelligence, 1996 - Elsevier
Test functions are commonly used to evaluate the effectiveness of different search
algorithms. However, the results of evaluation are as dependent on the test problems as …
algorithms. However, the results of evaluation are as dependent on the test problems as …
[PDF][PDF] The evolution of evolvability in genetic programming
L Altenberg - Advances in genetic programming, 1994 - sfi-edu.s3.amazonaws.com
The notion of “evolvability”—the ability of a population to produce variants fitter than any yet
existing—is developed as it applies to genetic algorithms. A theoretical analysis of the …
existing—is developed as it applies to genetic algorithms. A theoretical analysis of the …
[图书][B] Analyzing evolutionary algorithms: The computer science perspective
T Jansen - 2013 - Springer
Analyzing Evolutionary Algorithms: The Computer Science Perspective | SpringerLink Skip to
main content Advertisement SpringerLink Log in Menu Find a journal Publish with us Search …
main content Advertisement SpringerLink Log in Menu Find a journal Publish with us Search …
Rain-fall optimization algorithm: A population based algorithm for solving constrained optimization problems
This paper proposes rain-fall optimization algorithm (RFO), a new nature-inspired algorithm
based on behavior of raindrops, for solving of real-valued numerical optimization problems …
based on behavior of raindrops, for solving of real-valued numerical optimization problems …
Genetic algorithms, selection schemes, and the varying effects of noise
BL Miller, DE Goldberg - Evolutionary computation, 1996 - ieeexplore.ieee.org
This paper analyzes the effect of noise on different selection mechanisms for genetic
algorithms (GAs). Models for several selection schemes are developed that successfully …
algorithms (GAs). Models for several selection schemes are developed that successfully …
An improved localization algorithm based on genetic algorithm in wireless sensor networks
B Peng, L Li - Cognitive Neurodynamics, 2015 - Springer
Wireless sensor network (WSN) are widely used in many applications. A WSN is a wireless
decentralized structure network comprised of nodes, which autonomously set up a network …
decentralized structure network comprised of nodes, which autonomously set up a network …
Fitness landscapes
PF Stadler - Biological evolution and statistical physics, 2002 - Springer
Fitness landscapes are a valuable concept in evolutionary biology, combinatorial
optimization, and the physics of disordered systems. A fitness landscape is a mapping from …
optimization, and the physics of disordered systems. A fitness landscape is a mapping from …