Abstract Most real-world problems involve some type of optimization that are often constrained. Numerous researchers have investigated several techniques to deal with constrained single-objective and multi-objective evolutionary in many fields, including theory application. This presented study provides a novel analysis scholarly literature on constraint-handling for population-based algorithms...

Forecasting of sediment load (SL) is essential for reservoir operations, design water resource structures, risk management, planning and preventing natural disasters in the river basin systems. Direct measurement SL difficult, labour intensive, expensive. The development an accurate reliable model forecasting required. Sediment transport highly non-linear influenced by a variety factors. using ...

Most optimization problems naturally have several objectives, usually in conflict with each other. The two or three objective functions are referred to as Multi-Objective Problems (MOP). However, many real-world applications often involve four more which commonly recognized many-objective (MaOP). Multi and algorithms a great application engineering science. This study addresses complete updated...

the aim of this paper is to study a multi-product, multi-period production systems in a hybrid flow shop so that lot-sizing and scheduling will be detemined simultaneously. a new mixed-integer programming model is proposed to formulate the studied problem. the objective function in this investigation includes the total cost of production, inventory and external supply. in the case of not satisf...