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» Evolutionary multiobjective optimization
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110
Voted
ISCAS
2005
IEEE
133views Hardware» more  ISCAS 2005»
15 years 7 months ago
Multiobjective VLSI cell placement using distributed simulated evolution algorithm
— Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of adaptation. If properly engineered it is possible for SimE to reach nearopti...
Sadiq M. Sait, Ali Mustafa Zaidi, Mustafa I. Ali
108
Voted
CEC
2005
IEEE
15 years 3 months ago
Multi-objective optimisation of the pump scheduling problem using SPEA2
Abstract- Significant operational cost and energy savings can be achieved by optimising the schedules of pumps, which pump water from source reservoirs to storage tanks, in Water ...
Manuel López-Ibáñez, T. Devi ...
GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
15 years 5 months ago
A simple line search operator for ridged landscapes
This paper describes a new simple operator for Evolutionary Algorithms (EA) to climb ridged landscapes. Categories and Subject Descriptors: I.2.8 [Computing Methodologies]: Proble...
Andrea Soltoggio
GECCO
2010
Springer
182views Optimization» more  GECCO 2010»
15 years 5 months ago
Benchmarking CMA-EGS on the BBOB 2010 noisy function testbed
This paper describes the implementation and the results for CMA-EGS on the BBOB 2010 noisy testbed. The CMAEGS is a hybrid strategy which combines elements from gradient search an...
Steffen Finck, Hans-Georg Beyer
CEC
2007
IEEE
15 years 8 months ago
On improving approximate solutions by evolutionary algorithms
Abstract—Hybrid methods are very popular for solving problems from combinatorial optimization. In contrast to this the theoretical understanding of the interplay of different opt...
Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank ...