Yeomans Julian Scott

Julian Scott Yeomans

Information about the author Julian Scott Yeomans will soon be added to the site.
Found 8 papers in total
An evolutionary Grey Hop, Skip and Jump approach: Generating alternative policies for the expansion of waste management
An evolutionary Grey Hop, Skip and Jump approach: Generating alternative policies for the expansion of waste management
2003
Evolutionary simulation–optimization methods are combined with a Grey Hop, Skip,...
Rating and evaluating the combined financial and environmental performance of companies in the metals and mining sector
Rating and evaluating the combined financial and environmental performance of companies in the metals and mining sector
2004
The basic intent in financial performance evaluation is to appraise current business...
Combining simulation with evolutionary algorithms for optimal planning under uncertainty: An application to Municipal Solid Waste management planning in the Regional Municipality of Hamilton–Wentworth
Combining simulation with evolutionary algorithms for optimal planning under uncertainty: An application to Municipal Solid Waste management planning in the Regional Municipality of Hamilton–Wentworth
2003
Many uncertain factors exist in the planning for Municipal Solid Waste (MSW)...
An interval-parameter fuzzy two-stage stochastic program for water resources management under uncertainty
An interval-parameter fuzzy two-stage stochastic program for water resources management under uncertainty
2005
This study presents an interval-parameter fuzzy two-stage stochastic programming...
A computational analysis of balanced just-in-time optimization algorithms
A computational analysis of balanced just-in-time optimization algorithms
2001
The balanced schedule problem in mixed-model, JIT manufacturing is examined. Solving...
Optimal level schedules in mixed-model, multi-level JIT assembly systems with pegging
Optimal level schedules in mixed-model, multi-level JIT assembly systems with pegging
1996
Solving the level (or balanced) schedule problem is the most important scheduling goal...
Optimal level schedules for mixed-model, multi-level just-in-time assembly systems
Optimal level schedules for mixed-model, multi-level just-in-time assembly systems
1997
Solving the level (or balanced) schedule problem is the most important scheduling goal...
A comment on ‘a simple sequencing algorithm for mixed-model assembly lines in just-in-time production systems’
A comment on ‘a simple sequencing algorithm for mixed-model assembly lines in just-in-time production systems’
1994
Recently Ding and Chen have published an O( nD) heuristic for the level schedule...
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