8125 search results - page 133 / 1625 » Parallelism and evolutionary algorithms |
149
Voted
GECCO
2005
Springer
15 years 9 months ago
2005
Springer
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...
150
click to vote
SEAL
1998
Springer
15 years 7 months ago
1998
Springer
This paper empirically investigates the use and behaviour of Evolution Strategies (ES) algorithms on problems such as function optimisation and the use of evolutionary artificial ...
141
click to vote
EC
2008
15 years 3 months ago
2008
The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness l...
137
click to vote
GECCO
2000
Springer
15 years 7 months ago
2000
Springer
The majority of the research using evolutionary algorithms for the Job Shop Scheduling Problem (JSSP) has studied only the static JSSP. Few evolutionary algorithms have been appli...
115
Voted
GECCO
2008
Springer
15 years 4 months ago
2008
Springer
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...